2015

Ofertas diversas

• Research position at LORIA and INRS, Nancy (France). Received: 14/12/2015.

Master2 (research) position at Multispeech Team, LORIA and INRS (Nancy, France)

Speech intelligibility: how to determine the degree of nuisance

Irina Illina, Patrick Chevret

General information

Supervisors

Irina Illina, LORIA, Campus Scientifique - BP 239, 54506 Vandoeuvre-lès-Nancy, --LOGIN--f9506925446c4be0fe3ee2e9c56f34f4loria[dot]fr
Patrick Chevret, INRS, 1 rue du Morvan, 54519 Vandoeuvre-lès-Nancy, --LOGIN--3c8a874423aa88d082224130415e71a3inrs[dot]fr

Motivations

The intelligibility of speech means the ability of a conversation to be understood by a listener located nearby. The level of speech intelligibility depends on several criteria: the level of ambient noise, the possible absorption of part of the sound spectrum, acoustic distortion, echoes, etc. The intelligibility of speech is used to assess the performance of telecommunication systems or absorption in rooms.

The speech intelligibility can be evaluated:
- subjectively: listeners hear several words or sentences and answer different questions (the transcription of sounds, the percentage of perceived consonants, etc.). The scores are the value of intelligibility ;
- objectively, without involving listeners, using acoustic measures: the index of speech intelligibility (speech transmission index, STI) and the interference level with speech.

Subjective measures are dependent of listeners and require a large number of listeners. This is difficult to achieve, especially when there are different types of environments. Moreover, it is necessary to evaluate this measure for each listener. Objective measures have the advantage of being automatically quantifiable and to be precise. However, which objective measures can measure the nuisance of the environment on the intelligibility of speech and people's health remains an open problem. For example, the STI index consists of measuring the energy modulation. But the energy modulation can be produced by the machines, yet it does not match the speech.

Subject

In this internship, we focus on the study of various objective measures of speech intelligibility. The goal is to find reliable measures to evaluate the level of nuisance of environment to speech understanding, to long-term mental health of people and to productivity. Some possible solutions consist to correlate the word confidence measure, noise measurement confidence and subjective measures of speech intelligibility. To develop these measures, the automatic speech recognition system will be used.

This internship will be performed through collaboration between our Multispeech team of LORIA and INRS (National Institute of Research and Safety). INRS works on professional risk identification, analysis of their impact on health and prevention. INRS has a rich corpus of recordings and subjective measures of speech intelligibility. This corpus will be used in the context of this internship. Our Multispeech team has great expertise in signal processing and has developed several methodologies for noise estimation. The Multispeech team developed the complete system of automatic speech recognition.

Required skills

Background in statistics and object-oriented programming.

• Senior Post-Doc in Computer Vision and Machine Learning at INRIA Grenoble (France). Received: 10/12/2015.

Senior Post-Doctoral Researcher in Computer Vision and Machine Learning

INRIA Grenoble, Montbonnot Saint-Martin FRANCE

We are seeking a senior postdoc researcher (PhD + 2 years of postdoc) to work in the PERCEPTION team (https://team.inria.fr/perception/) lead by Radu Horaud. The position is available starting in February/March 2016 for a period of up to three years. The position is funded by Radu Horaud's ERC Advanced Grant VHIA (Vision and Hearing In Action) that develops audio and visual processing methods for human-robot interaction. The candidate is expected to have strong competences in computer vision and in machine learning, in particular Bayesian graphical models, mixture models, variational inference, and optimization. The selected candidate will work in close collaboration with the team members and he/she will co-advise a few PhD students.

Please send a complete CV to Radu Horaud (--LOGIN--98fed5618ca4467afe9278ac2818e2d1inria[dot]fr ).
Radu will be present at ICCV in Santiago de Chile and appointments can be easily arranged during ICCV.

• Post-doctoral and PhD positions at the University of Edinburgh (UK). Received: 08/12/2015.

Post-doctoral and PhD place at the University of Edinburgh

Applications are invited for a PhD student and a post-doctoral research associate position on a 4-year EC funded project TrimBot2020: A gardening robot for rose, hedge and topiary trimming. This project is a joint collaboration between The University of Edinburgh and seven other European partners. The overarching goal is to research the underlying robotics and vision technologies and prototype the first outdoor garden trimming robot.

The main activities of the researchers at Edinburgh will be: 1) to investigate how to fuse multiple 3D data streams, 2) coordinate the system integration, and 3) coordinate the evaluation of the system. The responsibilities of the Edinburgh team are:
1. Developing algorithms for fusion of 3D data from multiple sources (from stereo, motion stereo and structure and motion).
2. Developing algorithms for close-range binocular stereo in an outdoor context.
3. Coordinating processes, algorithms and ground-truth data for evaluating system and component performance.
4. Coordinating the design, development, integration and testing of the full system.
5. Assisting with GPGPU algorithm development.

The School of Informatics is one of the world's top computer science departments, based in one of the world's most attractive cities.

PhD Position

Applicants are expected to have at least high B/2i in a relevant technical domain, eg. computer science, mathematics, engineering. And be a skilled computer programmer. And have the degree from a strong university.
Preference will be given to applicants with Matlab and image processing skills. Having some publications will be an advantage.

The PhD position is fully funded for 36 months, covering all fees and about 14,000 pounds/year (EPSRC stipend rates).

We will do an initial screening of potential applicants before going through the full web-based PhD application process.
Please email your CV, transcripts and personal statement (including summarising any image processing experience) to Prof. Robert Fisher (--LOGIN--e26b06e38ab789ef31c0552964a2a5e3inf[dot]ed[dot]ac[dot]uk ).

Application URL:
http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=495

Post-doctoral Position

Applicants must, at a minimum, have a PhD degree in Computer Science or Computer Engineering with a track record of high quality publications. A strong programming and computer vision background are essential.

This post will take responsibility for many of Edinburgh's technical responsibilities. This post is also expected to lead the technical aspects of the project integration, so experience with system building is required. Experience with ground-truthing, component and system experimental evaluation, data analysis, GPU implementation, and parallel processing are also highly desirable.

This is a full time and fixed term post which available from 1st January 2016 (the start date is flexible) for a period of 36 months with the possibility of extension.

Salary: 31,656 - 37,768 pounds per annum

Closing Date: Thursday 7th January 2016 at 5pm (GMT)

More details and application process can be found at:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=034995

Prof. Robert Fisher (--LOGIN--e26b06e38ab789ef31c0552964a2a5e3inf[dot]ed[dot]ac[dot]uk ) is happy to answer informal questions.

• Faculty Position in Big Data/High Performance Computing at North Carolina State University (USA). Received: 07/12/2015, Closing date: 15/01/2016.

Systems Faculty Position at North Carolina State University

The Department of Computer Science at North Carolina State University (NCSU) seeks to fill a tenure-track or senior faculty position in the area of Big Data / High Performance Computing, including Cloud Computing, Parallel I/O, and Non-Volatile Storage, with a strong focus on the computer systems side and on scalability for large systems.

The position has an option for a joint appointment with the Computer Science and Mathematics Division (CSMD) of Oak Ridge National Laboratories (ORNL). If this option is elected, candidates will be invited to interview at NCSU and ORNL. A successful joint NCSU/ORNL candidate’s home institution would be NCSU, where most of the time on research (and all of the time on teaching) is spent, combined with frequent visits and close collaborations with ORNL, which opens up additional opportunities for conducting research.

We aim to fill the position by August 16, 2016, but it will remain open until filled. Applicants are encouraged to apply by January 15, 2016.

For more details, visit
http://www.csc.ncsu.edu/employment/jobs/50

• Postdoctoral Research Fellow in Cognitive and Neuro-Robotics at Plymouth University (UK). Received: 27/11/2015, Closing date: 05/01/2016.

Plymouth University, UK
Centre for Robotics and Neural Systems

Postdoctoral Research Fellow in Cognitive and Neuro-Robotics (BABEL Project)

http://www.jobs.ac.uk/job/AMM733/research-fellow-in-cognitive-and-neuro-robotics-babel-project/

www.babel-project.org

A post-doctoral research fellow is required for a period of up to 12 months to work on the EPSRC funded collaborative project “BABEL: Bio-inspired Architecture for Brain Embodied Language”.

You will carry out research on neuro-robotics and cognitive robotics experiments. A PhD in Computer science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential and knowledge of computational neuroscience and/or human-robot interaction research is a desirable skill. The research will require the use of the iCub humanoid robot and of the SpiNNaker neuromorphic system.

You will be working collaboratively as part of a larger inter-disciplinary research team at the School of Computing and Mathematics, and the School of Psychology, under the supervision of Professor Angelo Cangelosi, Dr Thomas Wennekers, Professor Sue Denham and Professor Friedemann Pulvermueller. You will also collaborate with the other partners in the BABEL consortium, such as Professor Steve Furber and Dr David Lester (Manchester University) and Pulvermueller’s lab at Free University Berlin. You might be required to travel for project meetings and between partners’ sites.

Informal enquiries regarding the post, the project or the research details can be made to Prof Angelo Cangelosi (--LOGIN--fb1dcf975bc5cffeca183d4a22cfdbc1plymouth[dot]ac[dot]uk or +44 1752 586217).

This is a full-time post working 37 hours per week on a fixed-term basis for 12 months. Expected start date is 1 February 2016 (or as soon as possible after this date, subject to negotiation).

Recruitment and selection will be based on individual merit, however, we should particularly like to encourage applications from women, black and minority ethnic people who are under-represented in the Faculty of Technology.

CLOSING DATE: 12 midnight, Tuesday 5 January 2016

Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion.

The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s career in STEMM academia.

• Postdoc/Research Engineer position in mobile computation offloading in edge clouds at LIP6, University Pierre and Marie Curie, Paris (France). Received: 20/11/2015.

Postdoctoral call for application: Mobile Computation Offloading in Mobile Edge Clouds

Context and Job description:

The computer science laboratory of Paris 6 (LIP6), France, invites applications for a Postdoc/Research Engineer position in the area of mobile computation offloading in edge clouds. This position is funded by the FUI Podium project led by THALES.

The project aims at developing a platform for secure computation offloading in edge clouds deployed locally on-demand for emergency situations. Mobile cloud computing has emerged as a new paradigm of cloud computing. It offers great opportunities for mobile service industry, allowing mobile devices to access the applications and utilize the elastic resources offered by the cloud. When cloud meets mobile, there are many interesting applications and challenging issues to address, such as mobile computation offloading. In this context, we will investigate efficient mechanisms for partitioning resource-intensive applications (i.e., image/video processing and cartography) and seamlessly offloading to the cloud for further processing. The quality of the application depends on the decisions made during partitioning and the delay introduced while offloading and receiving back the cloud-processed images, both of which are key components for assessing the efficiency of the entire process. 
 The focus of the Postdoc/Research Engineer position will be on both algorithmic and practical issues. From the algorithmic point of view, the candidate will design, model, and analyze efficient partitioning algorithms for mobile computation offloading, based on an estimation of the energy and CPU consumptions in both local and remote sides. A decision engine will be developed to decide whether offloading parts of the application should be performed or not in order to optimize the battery usage of the devices and improve the responsiveness of the application. From a practical point of view, the candidate will implement the proposed algorithms on Android terminals, and evaluate their operational efficiency in a real test-bed available at LIP6.

The selected candidate will work closely with Prof. Rami Langar (--LOGIN--fc78a076869573c27e97c5d003d9e59flip6[dot]fr ) and Prof. Stefano Secci (--LOGIN--33b28b570b8b9726d8581ceae5e00762lip6[dot]fr ).

Candidate profile:


Advanced knowledge of cloud architectures and virtualization techniques.
Advanced programming skills in C++/Java, knowledge of smartphone programming.
Knowledge of French is not required.

Conditions:

- Place: LIP6, Univ. Pierre and Marie Curie, 4 Place Jussieu, Paris, France.
- Duration: 18 months
- Salary: ~2200€ (after taxes)

Application material:

The position is expected to start early 2016. The application evaluation and selection process will begin immediately, and will continue until the position is filled. Interested candidates should send the following documents to the two contacts listed above:
- Detailed CV including publications. Please, provide a link to the documents to download rather than attach them to your application email.
- Names and contact details of at least two referees, who are willing to provide detailed recommendation letters about the candidate.

Send your application material via e-mail with the subject line “mobile computation offloading Postdoc” to --LOGIN--fc78a076869573c27e97c5d003d9e59flip6[dot]fr and --LOGIN--33b28b570b8b9726d8581ceae5e00762lip6[dot]fr

• Faculty position in Security and Privacy at EURECOM (France). Received: 17/11/2015.

The Networking and Security Department of EURECOM invites applications for a faculty position at Associate or Full Professor level in the area of security and privacy.

EURECOM hosts one of the most established academic research activities in the field of security and privacy in Europe since more than 20 years. This activity takes place in two dedicated research groups as part of the networking and security department and in some joint projects conducted in mobile communications, multimedia and embedded systems groups. The new faculty is expected to join forces with the existing activities by taking the lead in one or several of the following areas:
- malware detection and analysis
- web and application security
- embedded system security
- wireless security
- forensics
- applied cryptography
- security protocol design and analysis
- software security
- distributed systems security
- privacy analytics
- privacy enhancing technologies.

Candidates must have a Ph.D. in computer science or electrical engineering and a proven track record covering more than 8 years of postdoctoral research in one or several of these areas.

While actively leading research with his team, the new faculty is also expected to enhance the resources of the department by raising additional funding. Besides excellence in academic research, he/she must tackle with real life security and privacy problems akin to industry. Background in industrial research will thus be an asset for applicants.
The new faculty is also expected to carry out fundamental research and to develop new graduate courses in the aforementioned domains.
Qualified applicants should send a resume including a publication list emphasizing the three most important publications, a statement of proposed research and teaching activities and the names and addresses of three references by e-mail under reference PROFSP2016 to --LOGIN--3129a0759f3718b27783d368a14f2a94eurecom[dot]fr . The screening will start on December 1st, 2015 and applications will be accepted until the position is filled.

EURECOM is a graduate school and a research center in communication systems located in Sophia Antipolis, a vibrant science park on the French Riviera. Founded by Institut Mines-Télécom, EURECOM’s consortium brings together renowned universities such as Télécom ParisTech, Aalto University (Helsinki), Politecnico di Torino, Technische Universität München (TUM), Norwegian University of Science and Technology (NTNU), Vietnam National University Ho Chi Minh City (VNU) and Chalmers University of Technology (Sweden) as well as industrial companies such as Orange, ST Microelectronics, BMW Group, Symantec, Monaco Telecom, SAP, IABG and the Principality of Monaco.

• Joint Faculty Position in Neural Science and Data Science at NYU (USA). Received: 16/11/2015, Deadline: 15/01/2016.

The Center for Neural Science (CNS) and Center for Data Science (CDS) at New York University invite applications for an open rank faculty position from candidates with research programs aimed at quantitative analyses and modeling of neural data. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty. Current listings of faculty may be viewed at:
http://www.cns.nyu.edu/faculty.php and http://cds.nyu.edu/people

The deadline for receipt of applications is January 15, 2016. For further information, and application instructions, visit:
http://www.cns.nyu.edu/faculty-search/ or http://cds.nyu.edu/opportunities/

• Visiting Assistant Professor in Software Engineering at Carlos III University of Madrid (Spain). Received: 12/11/2015, Deadline: 25/11/2015.

The Computer Science and Engineering Department needs to fill a Visiting Assistant Professor position. This position will begin on January 25th, 2016. Applicants must have completed a PhD. in Software Engineering, Computer Science, Information Technology or a closely related field by the appointment date.

Candidates must show exceptional promise in both research and teaching areas. The target areas of interest to cover in this position includes (but not limited to):
-Agile development methodologies
-Software Engineering
-Software Architecture
-Education technology

The candidate is expected to work with researchers from other disciplines across the University and industrial partners around the world. Candidates will have a strong background on Software engineering and will be able to demonstrate the ability to undertake interdisciplinary research and to contribute to the development of a new wave of Software Engineering education programmes at both Bachelor and Master level.

The candidate should have a strong track record in a relevant fields of Software Engineering. Furthermore a substantial external reputation should be demonstrated with special emphasis of academic potential through high-quality research publications.

Applications must be submitted by November, 25th , 2015.

About the Software Engineering Lab (SEL Group)

Our main activities are focused on process and project management, improvement and innovation, knowledge management, agile methodologies and mobile technologies.

Learn more at: http://sel.inf.uc3m.es/

The application must contain (in just one PDF document):
1. A letter of intent including research interests and teaching experience (max. 2 pages)
2. A detailed CV including education, job experience and publication record
3. 2 Reference letters (optional)

Written applications should be sent to:
Prof. Dr. Antonio De Amescua Seco
Room 2.1.C.15
Computer Science and Engineering Department
Carlos III University of Madrid
Avda. Universidad 30
28911 Leganés - Madrid - Spain

It is also possible to apply by e-mail via: --LOGIN--e52eeb48ab0eca7bd726c039d9b89fe3inf[dot]uc3m[dot]es

For additional information please contact via the following e-mail address: --LOGIN--e52eeb48ab0eca7bd726c039d9b89fe3inf[dot]uc3m[dot]es

• PhD position in Autonomous Intelligent Inspection of High Value Engineering Components at Loughborough University (UK). Received: 11/11/2015.

A PhD position is available in a multi-disciplinary project between the EPSRC Centre for Innovative Manufacturing in Intelligent Automation in the Wolfson School of Mechanical and Manufacturing Engineering, and the Centre for Data Science, in the Computer Science Department, School of Science at Loughborough University, UK.

Research. Inspection robots can be used as a test bed to develop a set of algorithms to recognise and classify defects autonomously. Machine learning, computer vision, time series analysis and deep learning can be deployed to autonomously learn patterns that separate sound from defected components. Initial human supervision will guide the learning so that the robots can progressively improve their analysis and classification accuracy, eventually succeeding in working in complete autonomy, and even recognising new patterns potentially indicating anomalies.

Supervision team:

Dr. Peter Kinnell, Senior Lecturer in Metrology, EPSRC Centre for Innovative Manufacturing in Intelligent Automation, Wolfson School of Mechanical and Manufacturing Engineering

Dr. Andrea Soltoggio, Lecturer in Artificial Intelligence, Centre for Data Science, Computer Science Department.

Working environment. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m train journey.

The student, based in the Wolfson School http://www.lboro.ac.uk/departments/mechman/ will work in collaboration with the Centre for Data Science in the Computer Science Department (School of Science) Loughborough University offers cutting-edge computing capabilities with a Hydra High Performance Computing cluster, a 1956-core 64-bit Intel Xeon cluster supplied by Bull, and GPUs computing capabilities. The EPSRC Centre for Innovative Manufacturing in Intelligent Automation is a partnership between Loughborough University, Cranfield University, Rolls-Royce, Airbus, Aero Engine Controls, and the Manufacturing Technology Centre

Requirements. The ideal candidate holds (or is about to obtain) a first-class honours undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm)

Period/Scholarship.

Start: January 2016.

Duration: 3 years.

Scholarship (subject to university approval) : £14,057 per annum plus tuition fees at the UK/EU rate (currently £4,052 p.a.)

Enquiries and applications.

Informal enquiries are encouraged and should be addressed to Peter Kinnell --LOGIN--3e9e553720814b4f9522d84d9bcf9a39lboro[dot]ac[dot]uk or Andrea Soltoggio --LOGIN--9355474c7d808a2ed4d210ca427271c8lboro[dot]ac[dot]uk .

Interested candidates are invited to submit an application at: http://www.lboro.ac.uk/study/apply/research/ including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words).

• Fully funded PhD position in machine learning at Loughborough University (UK). Received: 05/11/2015.

Fully funded PhD position in: Machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics

A fully funded PhD position is available in a multi-disciplinary project between the School of Science and the School of Business and Economics, Loughborough University, UK, on the topic of machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics.

Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m journey by train.

Research. The application of advanced analytical techniques to the discovery and implementation of human-borne Chemical, Biological, Radiological and Nuclear (CBRN) markers of interest requires large numbers of samples taken from a highly variable sampled population.
Efficient progress in this enterprise is limited by the current limits on the speed and sophistication of the data processing and multivariate analysis of the analytical system outputs.

This studentship will start the exploration of the boundary between advanced analytical science (sensory capability) and machine learning, including neural and deep learning. It will be part of what is intended to be an enduring collaboration between researchers in Chemistry, Computer Science, Mathematics and Information Science.
The supervisory team is composed of Dr. Andrea Soltoggio, expert in Artificial Intelligence and Neural Learning, and Dr. Martin Sykora, expert in Machine Learning, Data Mining and Big Data. The academic team supporting this project will include:
- Prof. C. L. Paul Thomas Chemistry, markers and detection
- Prof. Tom Jackson, Centre for Information Management, applied - and theory based knowledge management
- Dr. Iain Phillips, Department of Computer Science, computer networks and high performance computing
- Dr. Eugenie Hunsicker, Department of Mathematics, statistical techniques

Working environment. The student, based at the Computer Science Department http://www.cs.lboro.ac.uk, School of Science, will work and collaborate with diverse research groups: the Center for Analytical Science (Chemistry Department) with access to research of the Toxi-triage H2020 project (http://cordis.europa.eu/project/rcn/194860_en.html)), and the Center for Information Management (CIM) http://www.lboro.ac.uk/research/cim/.
Loughborough University offers cutting-edge computing capabilities with a Hydra High Performance Computing cluster, a 1956-core 64-bit Intel Xeon cluster supplied by Bull, and GPUs computing capabilities.

Requirements. The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm)

Period/Scholarship.
Start: January 2016.
Duration: 3 years.
Scholarship: £14,057 per annum plus tuition fees at the UK/EU rate (currently £4,052 p.a.)

Application deadline: 16 November 2015.

Enquiries and applications.
Informal enquiries are encouraged and to be addressed to Dr. Andrea Soltoggio (--LOGIN--9355474c7d808a2ed4d210ca427271c8lboro[dot]ac[dot]uk ).
Interested candidates are invited to submit an application at http://www.lboro.ac.uk/study/apply/research/ including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words).

• PhD position at the University of Zurich/ETH Zurich (Switzerland). Received: 04/11/2015, Deadline: 30/11/2015.

Applications are invited for one PhD student position at the University of Zurich/ETH Zurich. The position is funded by a SystemsX grant from the Swiss National Science Foundation. The project is entitled “Bayesian learning of quantal parameters at single synapse resolution”, and involves both experimentation and theory.

Most models of synaptic transmission assume that all synapses between two neurons are identical. However, there is experimental evidence for significant heterogeneity in synaptic transmission between synapses. The major goal of this project is the development of an approach that allows for quantification of functional synaptic parameters incorporating single synapse heterogeneity. Half of the project will be devoted to experiments (electrophysiological and optophysiological investigation of synaptic transmission at Drosophila synapses), while the second part will involve modeling (Bayesian learning).

The PhD student will be co-supervised by Prof. Martin Müller (Institute of Molecular Life Sciences, University of Zurich) and Prof. Jean-Pascal Pfister (Institute of Neuroinformatics, ETH and University of Zurich). Both institutes offer ideal environments for performing theory-driven experiments due to the presence of many theoretical and experimental labs.

The candidate should hold a Master degree in Physics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have keen interests in theory-driven experiments. Preference will be given to candidates with prior experience in an experimental lab, strong mathematical or good programming skills.

The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (--LOGIN--901e208fd4d9a4887762f7e661c468faini[dot]uzh[dot]ch ) or Martin Müller (--LOGIN--d152b9cf1e24e3b297bf61a8e47eb522imls[dot]uzh[dot]ch ).

The position is offered for a period of three years and can be extended. The preferred starting date is January 2016. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf).

Deadline for application is the 30th of November 2015 or until the position is filled.

• Post-Doctoral Position in Malware Detection at Royal Holloway, University of London (UK). Received: 03/11/2015, Closing date: 30/11/2015.

The recently-established Systems Security Research Lab (S2Lab, http://s2lab.isg.rhul.ac.uk), led by Dr Lorenzo Cavallaro within the Information Security Group (ISG) at Royal Holloway, University of London, is seeking to appoint 1 Post-Doctoral Research Assistant (PDRA) to work on the EPSRC-funded project “Mining the Network Behaviour of Bots”, part of the CEReS call (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/K033344/1).

The project aims at building on machine learning techniques to characterize the core network behaviors of malware, with a particular emphasis on bot-like threats. Most of the machine learning-based approaches applied to this context so far report high performance metrics although marginal, if any, effort has been put on providing quality metrics to assess the actual machine learning tasks and provide supporting evidence on its actual strengths (or weaknesses) once deployed in the wild. Within the project, we have been working towards addressing such shortcomings and are building detection models to classify and detect bot-like behaviors with (statistical) confidence, by analysing different network data sources, such as passive DNS traffic (to characterize DGA-based botnets), and malicious/benign network traces.

The PI research expertise is in systems security and malware analysis and detection; in addition, 4 co-investigators and 1 PDRA with expertise in machine learning, bioinformatics, and network analysis, make up the whole team.

The ideal candidate must have earned (or close to defend) a PhD in Computer Science or related discipline, with a particular emphasis on Computer Security. In addition, the candidate must have a strong research track record and a proven ability to find innovative solutions. The co-investigators and the machine learning PDRA are focused on devising novel machine learning technique, while the ideal candidate for this post must further be self-motivated, possess development skills, and be experienced in systems security and malware analysis / detection. Having explored machine learning in particular to tackle security aspects is highly desirable.

The main responsibilities of the post are:

- Developing novel analysis to mine and model network and host behaviors
- Developing novel techniques to detect malicious network behavior
- Developing research objectives and publishing research
- Planning own day to day research activity
- Attending project meetings, discussing research with collaborative partners, especially within the Systems Security Research Lab
- Limited supervision by the PI
- Attending conferences and presenting research papers
- Providing input to project web sites and other dissemination and engagement forums;

The Systems Security Research Lab is currently exploring a number of research projects, including Android security and techniques to automatically generate exploit for memory corruption vulnerabilities. Such projects inherently build on machine learning (and program analysis) and further collaboration between this project and S2Lab research activities at large is, of course, encouraged.

This is a full time post, available from Dec 14, 2015 or shortly thereafter, for a fixed term period of 12 months. This post is based in Egham, Surrey, where Royal Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from central London.

Royal Holloway University of London is an Academic Centre of Excellence in Cyber Security Research and Education only one of the two Higher Education institutions awarded with a Centre for Doctoral Training in Cyber Security.

For an informal discussion about the post, please contact the PI, Dr Lorenzo Cavallaro, at --LOGIN--3a186db7ca5152da0c58d067cfa7189brhul[dot]ac[dot]uk or +44 (0)1784 414381.

Please apply online at https://goo.gl/RjYcZ2 --- applications must include (i) a CV, (ii) a cover letter outlining how you fit into the project, and (iii) a personal research statement. Applications with missing documentation may not be fully considered.

To view further details of this post and to apply please visit https://jobs.royalholloway.ac.uk. The RHUL Recruitment Team can be contacted with queries by email at: --LOGIN--96fd5c4094c362d8056506f12ba593b6rhul[dot]ac[dot]uk or via telephone on: +44 (0)1784 41 4241.

Please quote the reference: 1115-336

Closing Date: Midnight (GMT), 30 November 2015

Interview Date: 7 December 2015

• Faculty positions in data science at UMass Amherst (USA). Received: 02/11/2015.

UMass Amherst Computer Science is hiring in data science broadly this year and for multiple years to come at both the junior and senior levels.

3+ openings in data science this year; 12+ openings over the coming several year; (there are additional openings in other areas this year, as well).

I am chairing faculty recruiting. I would be happy to receive email from anyone interested and to answer further questions (--LOGIN--e89c5592b4f364dbc8b7d3f521aa1807cs[dot]umass[dot]edu ).

https://www.cics.umass.edu/job/assistant-associate-professor-positions

Review of applications will begin on November 30, 2015, and will continue until the positions are filled.

• Open research positions in Machine Learning at Bournemouth University (UK). Received: 31/10/2015.

The Department of Computing at Bournemouth University (United Kingdom) has 1 Postdoc and 2 PhD positions in the area of Machine Learning for Big Data. These positions are part of the EU-funded H2020 project PROTEUS: Scalable online machine learning for predictive analytics and real-time interactive visualization (PROTEUS) (http://www.proteus-bigdata.com/) which explores the development of original research on online machine learning for Big Data. PROTEUS investigation and development results will be evaluated and validated in an industrial setting on-site provided by the world largest steel producer, ArcelorMittal - Spain. In a nutshell PROTEUS aims at developing:

- New strategies for real-time hybrid computation, batch data and data streams.
- Real-time scalable machine learning for massive, high-velocity and complex data streams.
- Real-time interactive visual analytics for Big Data.
- Targeted implementation of the algorithms for Apache Flink.
- Real-world industrial validation of the project outcome.

We are seeking talented and enthusiastic candidates with excellent analytical, communication and scientific writing skills. Candidates must have strong analytical background in Machine Learning and Data Mining, preferably in online (supervised and unsupervised) learning applied to data streams. They also need to have very good Java/Scala programming skills, and good experience with Big Data streaming platforms and the associated computing models.

It is expected that the postdoc applicants hold (or close to accomplish) a PhD degree and should have an excellent publication record in the areas of interest. The PhD candidates on the other hand must hold a University degree (MSc) in Machine Learning, (Applied) Mathematics, Statistics, Computer science or Engineering and are expected to demonstrate outstanding qualities and be motivated to complete their PhD in 3 years. An IELTS score of 6.5 minimum (or equivalent) is essential for candidates for whom English is not the first language.

The selected candidates are expected to contribute to the generic research and the related publication activities.

Terms of employment

For Postdoc:
- The appointment is for 2 years
- A gross salary of £28695 (~ €40000) per year

For the PhD positions:
- The appointment is for 3 years
- A gross salary of £20198 (~€28000) per year. The registration fees are waived for 36 months
- Great support for your personal development and career planning including skill development courses, summer schools, conference visits, etc.
- A broad package of fringe benefits (e.g. health insurance, child daycare, excellent technical infrastructure and sports facilities).

Information and application
These posts are open to both EU and International candidates. Please direct your queries and application to the PI Dr Hamid Bouchachia (--LOGIN--8a40fcfa38240018111caae52a8b58f2bournemouth[dot]ac[dot]uk ). To apply, please send:

- A letter motivating the application.
- A detailed CV, including education, research experience and the list of publications (NB: For the postdoc the list of publications is mandatory).
- Transcripts of academic records.

Application deadline
- Postdoc: January 31th, 2016.
- PhD: December 15th, 2015

• PhD positions available in Systems Neuroengineering at the University of Minnesota (USA). Received: 30/10/2015.

We would like to announce PhD positions available for our interdisciplinary training program in Systems Neuroengineering: Interacting with the Brain: Mechanisms, Optimization, and Innovation. Funded by an IGERT grant from NSF.

Interested students should apply to one of the University of Minnesota's PhD programs in Neuroscience, Biomedical Engineering, Electrical Engineering, or Mechanical Engineering.

The program provides a generous stipend and tuition coverage as well as access to cutting-edge research in neuroengineering. Minnesota is also home to the largest collection of medical device manufacturers in the world and our program provides opportunities for IGERT trainees to gain practical experience working with these companies. Through our education and research-training model, students in our program learn to develop the skills to revolutionize neurotechnologies and advance our understanding of neuroscience processes underlying these technologies.

The Systems Neuroengineering IGERT Program has over 40 outstanding faculty members who have made significant contributions to neural decoding, neuromodulation, neural interfacing, and neuroimaging research, and who are committed to graduate training. Many of them are world class leaders who have shaped where the field is in cutting-edge research, including noninvasive brain-computer interface controlling quadcopter, deep-brain stimulation, high field MRI imaging, and dynamic brain mapping.

Interested students should go to http://igert-ne.umn.edu/.

• Postdoc position in a subset of computer vision, NLP, cogsci, and neuroscience at MIT (USA). Received: 29/10/2015.

The MIT/Harvard Center for Brains, Minds and Machines (CBMM, http://cbmm.mit.edu) has a postdoctoral fellowship available at MIT in the Computer Science and Artificial Intelligence Laboratory.

We are looking for candidates with a strong interest in expanding their research by collaborating outside of their core areas. Candidates should have expertise in a subset of:
- computer vision
- natural language processing
- cognitive science
- neuroscience

CBMM is an NSF Science and Technology Center (STC) with a wide charter to investigate the science of intelligence. Because of this, the position offers flexibility in the research projects being pursued with the requirement that they be cross-disciplinary and informed by cognitive science, behavioral experiments, or neuroscience. CBMM is a large effort spanning multiple institutions and offers many opportunities to collaborate with top experts across multiple domains.

Email applications to Boris Katz (--LOGIN--e444885d2e6bbb224db0aa43fcdff3a4mit[dot]edu ) or Shimon Ullman (--LOGIN--7ac9d5e85c1ee5e6e055126d30ad3d72weizmann[dot]ac[dot]il ).

• PhD opportunity in Manchester: Network modelling of brain stimulation and its effect on brain plasticity at the University of Manchester (UK). Received: 29/10/2015, Deadline: 25/11/2015.

Medical Research Council funded PhD studentship at the university of Manchester, UK

Electrical stimulation, such as transcranial alternating current stimulation (tACS) can enhance brain plasticity, and so promote learning, but mechanisms are unclear. tACS has been shown to induce membrane oscillations which can enhance perception if applied at the appropriate frequency and phase.

With EPSRC funding we have shown that plasticity of touch is dependent on the frequency of tactile stimulation and are currently collecting MRI data (of key neurotransmitter concentrations and network connectivity) and developing computational network models to better understand this phenomenon. We think electrical stimulation may interact with the network in a similar way.

The resonance frequency of network oscillations influences the interaction of tACS with the brain. Deeper understanding of this process could allow us to enhance the effect of tACS on brain plasticity, and potentially improve its therapeutic effect.

Objectives:
1. To develop a neurocomputational network model incorporating tACS. Consider the effect on network plasticity at a range of frequencies and phase.
2. Determine the frequency and phase dependence of tACS enhancement of sensory (touch) plasticity, in terms of both sensory perception and MRI and EEG markers of plasticity.
3. Determine the frequency dependence of tACS enhancement of the imbibition of return (IOR) visual task to compare to touch. IOR is a marker of impulsive behaviour and attentional bias common in a number of mental health conditions.
4. Test the temporal dynamics of tACS induced plasticity to determine how long they last.

MR-compatible tactile devices and tACS equipment is available in our lab. The computational modelling will extend our current work on neural mass models. MR measurements will be made at the Welcome Trust Clinical Research Centre.

Repetitive stimulation has been shown to affect cognition, perception and emotion. It is potentially a route for non-invasive therapeutic delivery without side-effects. By understanding how stimulation affects neural plasticity we can optimise its delivery.

This 3.5-year full-time MRC DTP studentship provides full support for tuition fees, annual tax-free stipend at Research Council UK rates (currently £14, 057) and conference/travel allowance. The project is due to commence October 2016 and is open to UK/EU nationals only due to the nature of the funding.

This project provides in depth training in 2 of the key DTP skills priority areas, namely imaging and modelling. The student will learn the theory, implementation and analysis of a number of key MRI techniques and neurocomputational modelling will form a core part of the PhD.

There is well-recognised skills gap in physical sciences and maths in the biomedical field. The Centre for Imaging Sciences has an international reputation for developing such skills, providing quantitative cutting-edge MRI techniques for clinical research and translation.

Applicants should hold (or be expected to obtain) a minimum upper-second class undergraduate degree in a related area. A relevant Masters degree or equivalent research experience would be an advantage. Any queries regarding the suitability of qualifications should be directed to the primary supervisor.

Please direct applications in the following format to Dr Laura Parkes (--LOGIN--2c2d878e2972f928cd5fe2405f3b8814manchester[dot]ac[dot]uk ):
· Academic CV
· Official academic transcripts
· Contact details for two suitable referees
· A personal statement (750 words maximum) outlining your suitability for the study, what you hope to achieve from the PhD and your research experience to date.

Any enquiries relating to the project and/or suitability should be directed to Dr Parkes. Applications are invited up to and including 25 November 2015.

Further details on the MRC DTP scheme and additional PhD project opportunities can be found on our website: http://www.mhs.manchester.ac.uk/mrcdtp

http://www.manchester.ac.uk/research/laura.parkes/

• Faculty positions in machine learning at Portland State University, Oregon (USA). Received: 29/10/2015.

The Computer Science Department at Portland State University (PSU) invites applications for multiple tenure-track assistant professor faculty positions to begin Fall 2016.

Exceptional applicants at other ranks will also be considered.

Specific areas of computer science under consideration are: artificial intelligence; machine learning; data mining; data-intensive systems; secure and trustworthy cyberspace; and networks and systems of connected things.

Our department currently has 24 tenure-track faculty members and offers BS, MS, and PhD degrees.

Portland State is Oregon’s largest university, and is located in downtown Portland, Oregon, offering proximity to world-class restaurants, cultural venues, exceptional outdoor activities, and collaborations with Portland’s burgeoning software industry.

For more information and instructions on how to apply, please visit http://www.pdx.edu/computer-science/open-faculty-positions.

• Ph.D. positions available in Cognitive and Information Sciences at the University of California, Merced (USA). Received: 28/10/2015, Full consideration: 15/12/2015.

The Cognitive and Information Sciences graduate program at the University of California, Merced has positions available for Ph.D. students entering Fall 2016. We offer interdisciplinary training in human neural, behavioral, and social processes and their dynamics. The program is research-intensive, and a wide range of projects and collaborations are available for students to join, and take on leading roles as they progress through the program. Topics include language, speech, communication, movement coordination, interpersonal interaction, human-computer interaction, philosophy of mind, philosophy of cognitive science, memory, executive control, search, neural networks, learning, and dynamical and complex systems. The word “information” in CIS denotes our emphases on data science and engineering, computational modeling, and technological applications that support and even emulate intelligent behaviors. Students who graduate from our Ph.D. program have career opportunities in academia as well as technology industries.

Please visit our program website for information about CIS:
http://cogsci.ucmerced.edu/

Applications may be submitted through the graduate division website:
http://graduatedivision.ucmerced.edu/

For full consideration, applications should be received by December 15, although we will continue to accept applications through January 15. Top candidates will be invited and reimbursed to visit the campus February 5-6, to meet with our faculty and students and learn more about the program. Multi-year offers of financial support are available, which include full tuition and competitive stipends.

If you have any further questions, please email the faculty member(s) who most closely align with your research interests.

• Master2 (research) position in automatic speech recognition at LORIA, Nancy (France). Received: 27/10/2015.

Automatic speech recognition: contextualisation of the language model based on neural networks by dynamic adjustment

Framework of ANR project ContNomina

The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content.

In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system.

As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate.

Subject

Current systems for automatic speech recognition are based on statistical approaches. They require three components: an acoustic model, a lexicon and a language model. This stage will focus on the language model. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to re-estimate the language model parameters for a new proper name depending on its context and a small amount of adaptation data. Several tracks can be explored: adapting the language model, using a class model or studying the notion of analogy.

Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The student will develop a new module whose function is to integrate new proper names in the language model.

Required skills
Background in statistics and object-oriented programming.

Localization and contacts
Loria laboratory, Multi speech team , Nancy, France
--LOGIN--4b91ee998577237c94d019c0b2642319loria[dot]fr --LOGIN--6afc737864eb1698ac5c921941b524b7loria[dot]fr

Candidates should email a detailed CV and diploma

References

[1] J. Gao, X. He, L. Deng Deep Learning for Web Search and Natural Language Processing , Microsoft slides, 2015.

[2] X. Liu, Y. Wang, X. Chen, M. J. F. Gales, and P. C. Woodland. Efficient lattice rescoring using recurrent neural network langage models , in Proc. ICASSP, 2014, pp. 4941–4945.

[3] M. Sundermeyer, H. Ney, and R. Schlüter. From Feedforward to Recurrent LSTM Neural Networks for Language Modeling . IEEE/ACM Transactions on Audio, Speech, and Language Processing, volume 23, number 3, pages 517-529, March 2015.

• Post-Doc Position in Computer Security at the University of Verona (Italy). Received: 26/10/2015.

The SPY Lab (http://www.di.univr.it/?ent=grupporic&id=23&lang=en) at the University of Verona, lead by Prof. Roberto Giacobazzi, is seeking to appoint 1 Post-Doctoral position of 2 years to work in the context of the FIRB project FACE (Formal Avenue for Chasing Malware) led by Dr. Mila Dalla Preda. The FACE projects benefits also from the expertise of Dr. Federico Maggi (co-investigator at the Politecnico of Milano).

The FACE (http://www.face-project.it) focuses on modeling and detecting static and dynamic malware features towards designing robust detection methods. In particular, the project FACE aims at using static and dynamic program analysis in order to face some of the main challenges in the detection of modern malware such as: the detection of dormant malicious behaviors in mobile malware, the detection of metamorphic variants of known malware, the detection of malware that employ anti-emulation or other similar defense strategies.

During the 2 years contact the Post-Doc will have an office at the Department of Computer Science of the University of Verona and will work together with the other members of the SPY Lab and of the FACE project under the supervision of Dr. Mila Dalla Preda.

The ideal candidate should hold a PhD in Computer Science or related discipline or should be closed to defend it. Moreover, he/she should be self-motivated and preferably have experience in at least two of the following areas:

- Static and dynamic analysis tools and methods
- Software development
- System security
- Malware analysis and detection

For an informal discussion about the post, please contact the PI, Dr. Mila Dalla Preda (--LOGIN--8ea05c22b0944953689beb20e7ce07eeunivr[dot]it )

• 10 Open PhD Positions at the International Max Planck Research School for Neural Circuits, Frankfurt (Germany). Received: 25/10/2015, Deadline: 15/01/2016.

The International Max Planck Research School (IMPRS) for Neural Circuits was funded in 2011 by the Max Planck Society and offers ten positions every year for excellent students holding a relevant Master´s or Bachelor´s degree to perform research resulting in a PhD. The program is taught in English. All positions are completely funded by the school and/or participating Labs.

The common focus of the IMPRS for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method.

In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community (see website for participating Faculty members). Students will participate in a tailor-made educational program including research rotations and neuroscience classes but also in trainings in transferable skills.

We welcome excellent students to apply to the program. Till January 15, 2016, it will be possible to apply for a position starting in the Fall of 2015. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt (March 2016). Shortly after the symposium, the students will receive a letter with an offer or rejection.

More information can be found on our website www.imprs.brain.mpg.de. Please send an email to Dr. Arjan Vink, --LOGIN--b046108ef420ed1e6eb885ecf62f79ddbrain[dot]mpg[dot]de , if you have more specific questions.

• Assistant Professor position in Mobile and Pervasive Computing at the University of California, Santa Cruz (USA). Received: 22/10/2015.

The Department of Computer Engineering at the University of California, Santa Cruz (UCSC) invites applications for a position in Mobile and Pervasive Computing at the Assistant Professor level. Applicants should be able to contribute to research and teaching (including classroom and mentorship of graduate and undergraduate students) in areas relevant to mobile and pervasive computing and networking, mixed-signal systems, and cyber-physical systems as well as to provide service to the campus and their profession. We have a preference for candidates with expertise in mobile devices, embedded sensors and mixed signal systems, and the Internet of Things (IoT). Possible related areas of research and teaching might include: wireless networking, visual computing, low-power design, augmented reality, embedded sensors, and natural user interface.

https://recruit.ucsc.edu/apply/JPF00293

• All-Level Faculty Positions in Interdisciplinary Research in Neurally-inspired Computing and Data Science at the University of Rochester, NY (USA). Received: 21/10/2015.

The University of Rochester has made data science the centerpiece of its 5-year strategic plan, committing to 20 new faculty lines in diverse areas, a new building, and the establishment of the Goergen Institute for Data Science. We are currently seeking applicants for tenure track or tenured positions in interdisciplinary research areas within data science. This search complements department-specific searches in data science currently underway.

The interdisciplinary search focuses on recruiting candidates who are excited about engaging in collaborative research that connects advances in computational models and methods to the humanities, sciences, or medicine. Successful candidates will receive a primary appointment in one of the departments supporting the search, and a secondary appointment in at least one other department. Departments and programs supporting this search include Biomedical Engineering, Brain & Cognitive Sciences, Computer and Electrical Engineering, Computer Science, Digital Media Studies (a program of Art & Art History, English, and History), Linguistics, and Political Science. Potential cross-appointments with the School of Medicine and Dentistry will also be considered.

Focus areas for this year’s interdisciplinary search are:

● Neurally-inspired Computing: Research in artificial neural networks, including the fundamental theory of deep learning, practical applications to tasks such as perception, or as a tool for modeling and understanding biological neural networks.

● Computer Vision and Image Analysis: Research in the theory and applications of computational methods of image or video understanding, with a particular interest in applications to biomedicine or the humanities.

● Computational Linguistics: Research in the theory or applications of natural language processing, with a particular interest in applications to linguistics, the social sciences, or the humanities.

Apply online at: https://www.rochester.edu/faculty-recruiting.

Direct questions about the search (but not applications) to --LOGIN--2e7928393af21a5b7f1ada8f80b4930arochester[dot]edu .

For more information about the Goergen Institute for Data Science, visit http://www.rochester.edu/data-science.

Applicants should hold a PhD and will be required to supply a set of refereed scholarly publications, names of references, and research and teaching statements. The application will ask applicants to select a set of disciplines most relevant to their research area. Review of applications at any rank will begin immediately and continue until the positions are filled. For full consideration, applications should be completed by January 15th, 2016.

The University of Rochester is a private, Tier I research institution located in western New York State. It consistently ranks among the top 30 institutions, both public and private, in federal funding for research and development. The university has made substantial investments in computing infrastructure through the Center for Integrated Research Computing (CIRC) and the Health Sciences Center for Computational Innovation (HSCCI). The university includes the Eastman School of Music and the University of Rochester Medical Center, a major medical school, research center, and hospital system. The greater Rochester area is home to over a million people, including 80,000 students who attend the 8 colleges and universities in the region.

The University of Rochester has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education. The University is an Equal Opportunity Employer.

• Postdoc position at INRIA (France). Received: 15/10/2015, Deadline: 30/11/2015.

Subject for a 12‐month postdoc starting in January 2016

Modeling, simulation and design space exploration of 3D heterogeneous multicore architectures interconnected by an Optical Network­‐on­‐Chip

Context

The 3D integration paradigm and technology scaling down to ultra-deep submicron domain provide the possibility to integrate billions of transistors, which enables the implementation of hundreds of cores on a single chip. These cores, running at a high clock frequency, lead to very high performance systems by massively exploiting the hardware parallelism. However, a direct impact of this evolution concerns the need to ensure a large number of exchanges between the cores, and the dramatic increase in the power consumption of these systems. Therefore, the role of interconnects becomes a dominant factor in performance as well as in energy efficiency. Designing such communications using traditional electrical interconnects is challenging. Due to capacitive and inductive coupling of wires, there is an increase of noise and propagation delays for interconnections in a manycore architecture, which puts limits to the achievable bandwidth and overall system performance. The high constraints induced by the inter-processor data communication bottleneck can find an efficient solution by exploiting the heterogeneity supported by future technologies. Indeed, the use of optical networks-on-chip (ONoC) is foreseen to allow significantly increased bandwidths, increased immunity to electromagnetic noise, decreased latency, and decreased power consumption. However, designing a complete 3D system including ONoC is not a guarantee of performance. Moreover, methods and tools supporting design space exploration are necessary to help the designer in the decision of which parts can benefit from optical interconnect and how the communication can be managed on this specific communication media support.

This postdoc position fits in the 3DCORE project (3D Many-Core Architectures based on Optical Network on Chip) as part of the “Laboratoires d'Excellence” CominLabs. For more details on the project see http://www.3d-opt-many-cores.cominlabs.ueb.eu

Objectives

The subject proposed for this postdoc position is to model and simulate the abovementioned 3D architecture, including ONoC. The main goal is to propose a power-aware ONoC that best suits expected performance requirements of the heterogeneous communication infrastructure.

To support design space exploration (DSE), comparisons using data-intensive benchmarks and synthetic traffics will be achieved. Communication protocols will be explored in order to define the best tradeoffs between electrical and optical interconnects. Finally, QoS (Quality of Service) support for on-chip optical communication will be investigated.

Organization

This work will be done in close collaboration between Inria Cairn (in Lannion) and INL (in Lyon) teams. Cairn team will welcome the postdoc but several stays at INL will be planned.
Inria Cairn:
O. Sentieys, D. Chillet, C. Killian, https://team.inria.fr/cairn
Heterogeneous Systems Design group at the Lyon Institute of Nanotechnology (INL):
I. O’Connor, S. Le Beux, http://inl.cnrs.fr/en/research-groups/heterogeneous-systems-design

Job profile:

The candidate should have a strong background on manycore simulation using Gem5 simulator http://www.gem5.org, the simulator being used on this platform. Any experience on benchmark execution (e.g. PARSEC and SPLASH-2) or Network-on-Chip (electrical or optical) will be appreciated.

Application should be posted before 30th November 2015.

• Postdoctoral Position in ECoG-Based Systems Neuroscience at the National Center for Adaptive Neurotechnologies, Albany, New York (USA). Received: 12/10/2015.

Overview

We are looking for an outstanding postdoctoral fellow in ECoG-based systems neuroscience. The successful candidate will be part of the Schalk lab at our newly founded National Center for Adaptive Neurotechnologies in Albany, New York. The research is funded for 3+ years and will center on the development of new algorithmic methods to infer anatomical topology or dynamic functional connectivity using high-resolution ECoG recording and stimulation, and on applying the resulting methods and data to predictions about cortical information routing within the framework of the recently proposed function-through-biased-oscillations (FBO) hypothesis (Schalk, G, 2015).

The successful candidate will be expected to actively drive all aspects of this research, which include method development, experimental design, ECoG data collection with our collaborators at Albany Medical College, signal analysis and interpretation, and manuscript preparation.

Required Expertise

We are seeking candidates with substantial experience in different areas of neuroscience and engineering. With respect to neuroscience, we expect the candidate to be intimately familiar with EEG/MEG/ECoG neurophysiology, in particular oscillatory dynamics and population-level activity, and to have a strong interest in principles of large-scale cortical communication. With respect to engineering, we expect the candidate to have a solid background in signal processing, in particular time series/spectral analysis, classification, and advanced statistics/machine learning, as well as excellent programming expertise in Matlab. We will not consider candidates that do not have expertise in both of these areas.

We collaborate intensively, both within our group and with a number of outstanding external collaborators at Berkeley and MIT. Hence, the most compatible candidates will embrace the multidisciplinary, fast-paced, and collaborative nature of our work.

Applicants should send a CV, a brief statement of background and goals, and at least two reference letters to Dr. Gerwin Schalk at --LOGIN--98c9ffac1a60069d6a24ffde2c7f4044neurotechcenter[dot]org . Review of applications will start immediately and continue until the position is filled. In case you will be at SfN in Chicago, you can meet Dr. Schalk in person at the ECoG Workshop Satellite meeting on Oct. 15/16.

The Schalk Lab

The Schalk lab is widely recognized for its pioneering role in basic and applied ECoG research. It is part of the recently founded National Center for Adaptive Neurotechnologies, which is the only NIH-funded neurotechnology center in the United States. Cost of living in Albany is relatively low, and there is easy access to some of the most exciting metropolitan areas in North America, including New York City, Boston and Montreal, as well as to a large variety of tourist attractions such as Niagara Falls.

• Postdoctoral Position in Computational Neuroscience at Indiana University, Bloomington (USA). Received: 09/10/2015.

Applications are invited for a post-doctoral in Computational Neuroscience. The position will be available in Spring 2016, but the starting date is flexible. The initial appointment will be for one year, with the possibility of renewal for a second year. The successful candidate will be working with Professors Eduardo Izquierdo and Randall Beer to construct and analyze integrated neuromechanical models of behavior in the nematode worm C. elegans. The ideal candidate will have completed their doctoral studies, and should have expertise in modeling and computational neuroscience. Experience in parameter optimization algorithms, dynamical systems theory, and information theory would be preferred but not necessary. Strongest consideration will be given to applications received before December 31, 2015; however, applications will be considered until the position is filled. Interested candidates should review the application requirements and submit their applications at https://indiana.peopleadmin.com/postings/1962. Questions regarding the position can be directed to Professors Eduardo Izquierdo or Randall Beer at Cognitive Science Program, Indiana University, 1900 East 10th St., 819 Eigenmann, Bloomington, Indiana 47406-7512 or, by email, --LOGIN--b666d359d0ac7b34fcc2f1a691cd9d74indiana[dot]edu or --LOGIN--12b20c3a6a13bc7f18ef64b8cd9eae66indiana[dot]edu .

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Applications from women and minority group members are especially encouraged.

• Oferta de contrato de Visitante Lector en la Universidad Carlos III de Madrid (Spain). Received: 04/10/2015.

Oferta de Contrato de Visitante Lector
Grupo de Procesado Multimedia

Organización

Departamento de Teoría de la Señal y Comunicaciones, Universidad Carlos III de Madrid.

El Grupo de Procesado Multimedia (GPM), perteneciente al Departamento de Teoría de la Señal y Comunicaciones, es un grupo de investigación que realiza tanto investigación fundamental como aplicada en los ámbitos de tratamiento de voz y audio y visión artificial, con financiación procedente de administraciones públicas españolas y empresas.

El Departamento de Teoría de la Señal y Comunicaciones está integrado en la Escuela Politécnica Superior de la Universidad Carlos III, en la que se imparten varios grados y másteres en el ámbito de la Ingeniería, estando situada en Leganés, un ciudad agradable a 15 km del centro de Madrid y bien comunicada mediante transporte público (tren, metro y autobús).

Oferta de trabajo

Se ofrece un puesto de visitante lector para realizar labores docentes en el ámbito del tratamiento de señales e investigación bien en tratamiento de voz y audio o bien en visión artificial. Seleccionaremos al mejor candidato en cualquiera de estos ámbitos.

Se ofrece un contrato de un año, que puede renovarse por un segundo año adicional. El salario bruto es de aproximadamente 22.000 €/año

Requisitos

Ser Doctor en Ingeniería de Telecomunicación u ámbitos estrechamente relacionados.

Trabajo a desarrollar por el candidato

Docencia: 3 grupos por curso académico en el ámbito de tratamiento de señal y comunicaciones.

Investigación: el candidato participará en una o varias líneas de investigación en los siguientes campos:

- Visión Artificial
- Sistemas de Ayuda al Diagnóstico a partir de Imagen Médica
- Detección de eventos basada en Audio and Video
- Tecnologías del Habla
- Modelos de atención visual y auditiva

Plazo de Solicitud

La oferta permanecerá abierta hasta que se ocupe el puesto; por tanto, no se establece una fecha estricta y la selección podrá realizarse en cualquier momento. No obstante, nuestra intención es tomar la decisión el 30 de octubre de 2015, o tan pronto como sea posible después de dicha fecha.

Fecha de incorporación

El candidato seleccionado se incorporará a principios del 2016.

Contacto

Dr. Fernando Díaz-de-María
Email: --LOGIN--05af33d06bd0ea0821813e095dfc5078uc3m[dot]es
Tlf: +34 91 624 9170

Se ruega a los interesados envíen un CV con detalles acerca de su formación académica, sus intereses a nivel de investigación y sus publicaciones.

• Multiple Postdoctoral and Research Assistant Positions on artificial consciousness based on the integrated information theory at Araya Brain Imaging, Tokyo (Japan). Received: 30/09/2015.

4 Postdoctoral and/or RA positions at Araya Brain Imaging, Tokyo, Japan.

Four postdoctoral positions (or RA positions) are available to work on a JST (Japan Science and Technology) funded research CREST project on “Towards constructing artificial consciousness based on the integrated information theory (IIT)” (PIs: Kanai, Kawanabe and Maekawa, Co-PIs: Tsuchiya and Oizumi), which will run for 5.5 years from Oct 2015. The initial appointment will be for one year, with renewal based upon satisfactory performance and evaluation. Salary will be commensurate with experience.

We are looking for young researchers (e.g., RA, late-stage candidates for MSc or PhD degree, or postdoctoral fellows) whose main research interest is the neuronal basis of consciousness, artificial intelligence, and/or the integrated information theory (IIT) of consciousness.

There are 4 pillars in the project:
1. Evolving artificial intelligent systems in complex game environments
2. Constructing systems with flexible sensory, cognitive and motor capability using deep neural networks (DNN)
3. Evaluation of integrated information in artificial systems
4. Empirical tests of IIT in real neural systems

You will be employed at Araya Brain Imaging (CEO: Kanai) in Japan for all projects, but the actual work location depends on the project. Projects 1 and 2 will mainly take place within Araya Brain Imaging in Central Tokyo, Japan, and Projects 3 and 4 at Monash University, Australia. All projects will be supervised by Ryota Kanai (Araya), Naotsugu Tsuchiya (Monash) and Masafumi Oizumi (Monash and RIKEN, Japan). The researchers in all projects are expected to travel between Japan and Australia frequently (at least twice a year).

For each project, the requirements for experience and skills differ, but excellent programming and mathematical skills (especially familiarity in advanced statistics, machine learning and information theory) will be essential in all projects. Research Assistants are expected to learn those skills upon appointment.

Excellence in written and oral English communication skills, as supported by objective publication recorded, is essential for postdoctoral applicants.

Most importantly the enthusiasm to solve consciousness is mandatory.

Araya Brain Imaging is a rapidly expanding start-up located in Tokyo. While being a private company, our priority is quality in research that makes changes to the world. Many of the members have been trained abroad (UK and US) and we have a very international atmosphere.
www.araya.org/eng

Monash University, one of the eight top universities in Australia (G8), is forming a strong cluster of consciousness researchers, ranging from philosophers, neurophysiologists, and psychologists with excellent cognitive neuroscience tools available (simultaneous EEG & fMRI experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking. http://mbi.monash.edu.au/)

Interested candidates are encouraged to send a CV, statement of research accomplishments and interests, PDF copies of representative publications, and contact information for 2 reference letters to:

Contact Yoshiko Tan (--LOGIN--609f89d2a133e5091c5f670f829e972baraya[dot]org ) for questions and applications

Application review will begin immediately and continue until the positions are filled.

• Software Developer in Neuroinformatics at the German Neuroinformatics Node, LMU München (Germany). Received: 26/09/2015.

At the German Neuroinformatics Node (G-Node, http://www.g-node.org), Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field challenge large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods, including tools and formats for data annotation, management, and sharing.
G-Node is funded by the Federal Ministry of Education and Research (BMBF) and is part of the Bernstein Network Computational Neuroscience (http://nncn.de) and national node of the International Neuroinformatics Coordinating Facility (INCF, http://incf.org).

The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks include contributing to the development and enhancement of G-Node formats, tools and services (http://www.g-node.org/tools-and-services, https://github.com/G-Node), working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions.

Candidates should have excellent programming skills, preferably in Python and C++ or Java, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in fields of relevance, such as semantic web technologies, relational databases, web development, scientific software and analysis, experimental or computational neuroscience, would be beneficial.

The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension.
Individuals with disabilities will be given preference in case of equal qualification. Applications by women are specifically encouraged.

Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled.
Applications should be sent, preferably as single pdf file by email, to Thomas Wachtler <--LOGIN--3b5734cbc3244a3be2f6ae2695e62912bio[dot]lmu[dot]de >

• Research Assistant position and PhD studentship in Tactile Robotics at the University of Bristol (UK). Received: 24/09/2015.

A one year Research Assistant position (UK/international applicants) and a 3.5 year fully funded PhD scholarship (UK applicants only) are available in Tactile Robotics at the University of Bristol.

An informal meeting relating to either post can be arranged at IROS 2015.

Based in the Bristol Robotic Laboratory, the largest centre for multi-disciplinary robotics research in the UK, and the Department of Engineering Mathematics at the University of Bristol, this is an exciting opportunity to join a dynamic team working on Tactile Robotics led by Dr Lepora.

You will support the activities of the University of Bristol on the EPSRC Research Grant on Tactile Superresolution Sensing (EP/M02993X/1). Superresolution encompasses a range of techniques for transcending the resolution limit of a sensor and earned the 2014 Nobel Prize in Chemistry (for superresolved microscopy). The success of this research will enable the widespread uptake of superresolution techniques in the domain of artificial tactile sensing, potentially impacting multiple application areas across robotics from autonomous quality control in manufacturing to sensorized grippers for autonomous manipulation to sensorized prosthetic hands and medical probes in healthcare.

RA position details (closing date 25 October)

You will be expected to support the activities of the Tactile Robotics Research Group at Bristol Robotics Laboratory, including attending and presenting at International Conferences on Robotics, and writing Research Papers on the outcomes of your research.

For the RA position, you will hold (or will be expected to obtain soon) a strong PhD in a discipline relevant to the project. In addition to a strong research track record you will also have excellent communication and presentation skills.

Full time salary is at the Research Assistant grade (£31,342 - £35,256 per year).

PhD studentship details (available until filled)

Funding is available for outstanding UK candidates, at a tax-free stipend of £14,057 (2015-2016) per year.

For the PhD studentship, please contact Dr. N Lepora directly (details below). Adverts will also be posted on UK postgraduate job sites soon.

Please note: The PhD studentship is available to UK students only

Applications

Informal enquiries can be made to: --LOGIN--65dbefd4e9c7e39910f555de35f96b76bristol[dot]ac[dot]uk

You can also talk informally with Dr N. Lepora at the International Conference on Intelligent Robots and Systems (IROS) from 28 Sep to 2 Oct 2015.

Details of the RA position are available here (REF # ACAD101673)
http://www.bristol.ac.uk/jobs/find/details.html?nPostingID=3765&nPostingTargetID=13782&option=28&sort=DESC&respnr=1&ID=Q50FK026203F3VBQBV7V77V83&keywords=tactile&Resultsperpage=10&lg=UK&mask=uobext

Details of the PhD studentship are available here:
http://www.bristol.ac.uk/engineering/graduate/pg-open/funding/epsrcdta.html

• Postdoctoral positions in Computational Neuroscience at IMBB-FORTH, Crete (Greece). Received: 22/09/2015, Deadline: 20/10/2015.

Description: We are looking for highly motivated candidates to fill 1-2 postdoctoral positions in the laboratory of Panayiota Poirazi at IMBB-FORTH in Crete, Greece.
The positions are funded by the ERC starting grant dEMORY, whose goal is to characterize the role of dendrites in learning and memory processes so as to formulate a unifying theory regarding their contribution in memory formation across brain regions and abstraction levels. This will be achieved via the development of computational models at different abstraction levels in the hippocampus the prefrontal cortex and the amygdala. By manipulating the biophysical, anatomical and plasticity properties of dendrites and tracking the effect on memory, the project aims to infer the key rules by which these thin structures shape mnemonic processes. These rules will then form the basis for deducing theoretical abstractions of trainable neurons with dendrites. The project has been running since 2012 and has already produced a number of outcomes, which can be found at the following web sites:
www.demory.gr, www.dendrites.gr

Qualifications: The ideal candidate should have expertise in computational neuroscience, preferably but not necessarily in biophysical modelling, and a deep interest in neural/dendritic computations, learning and memory.

To apply:
Application deadline: October 20th, 2015 (applications will be continuously screened until the positions are filled).

The position(s) will be available for 2 years, as of November 1st, 2015.
Salary: 28,000-36,000 Euro (including benefits), depending on experience and career stage.
Candidates should send a resume and two (2) reference letters to --LOGIN--d0ee18f293cc19cc1bd9a7f6aa999372imbb[dot]forth[dot]gr . If possible, recommendations should be sent by the referees.

THE POIRAZI LAB

The Computational Biology Laboratory at IMBB-FORTH performs research that is at the forefront of Computational Neuroscience and places special emphasis on understanding the role of dendrites in information processing and storage. Outcomes of the lab have significantly influenced the field of dendritic computations by providing key predictions that were later verified experimentally. For her contributions to Neuroscience Dr. Poirazi received several awards including the EMBO Young Investigator award, two Marie Curie fellowships, a Starting Grant from the European Research Council (ERC), membership to the Young Academy of Europe and the Young Scientist Community of the World Economic Forum etc. Yiota Poirazi is currently the Chair of FENS-Kavli Network of excellence, a prestigious network of 30 outstanding Neuroscientists whose goal is to shape the future of Neuroscience in Europe and beyond.

• Postdoc position on recurrent neural networks for music improvisation at Inria Nancy (France). Received: 21/09/2015, Deadline: 09/10/2015.

LAB: MULTISPEECH team, Inria Nancy, France
PI: Emmanuel Vincent (--LOGIN--d24a2b1344ea2cc850d512b36d4af097inria[dot]fr )
START: December 2015 to March 2016
DURATION: 16 months
TO APPLY: send a CV, a motivation letter, a list of publications, and one or more recommendation letters to --LOGIN--d24a2b1344ea2cc850d512b36d4af097inria[dot]fr by October 9, 2015

Automatic music improvisation aims to enable a machine to listen to other musicians and improvise with them in real time. While recurrent neural networks (RNNs) have shown their benefit for the generation of pitch sequences [1] and polyphonic music [2,3], current improvisation systems still rely on variable-order N-grams of pitch sequences, which can be learned in real time [4].

The goal of this postdoc position is to introduce the use of (potentially deep) RNNs in the context of automatic music improvisation. One or more of the following challenges shall be investigated:
- learn the RNN from a small amount of data using musically-motivated network architectures and parameter tying strategies
- update the RNN and generate meaningful music in real time given input by the other musicians
- jointly model heterogeneous musical dimensions (pitch, rhythm, harmony...) in the line of [5]
- jointly account for multiple time scales (tatum, beat, bar, structural block...)
To do so, we will leverage recent advances both in deep learning and in music modeling, e.g., [6,7].

This position is part of a funded project with Ircam. The successful candidate will collaborate with a PhD student and participate in project meetings at Ircam.

Salary: 2600 €/month gross, plus free health insurance and additional benefits

Ideal profile:
Prospective candidates should hold or be about to obtain a PhD in the area of machine learning or speech and music processing. Knowledge about RNNs and RNN programming practice (e.g., Theano) are necessary. Previous experience with music is not required but would be an asset.

[1] D. Eck and J. Schmidhuber, “Finding temporal structure in music: Blues improvisation with LSTM recurrent networks”, in Proc. NNSP, 2002.

[2] N. Boulanger-Lewandowski, Y. Bengio, and P. Vincent, “Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription”, in Proc. ICML, 2012.

[3] I.-T. Liu and B. Ramakrishnan, “Bach in 2014: Music composition with recurrent neural network”, arXiv:1412.3191, 2014.

[4] G. Assayag and S. Dubnov. Using factor oracles for machine improvisation. Soft Computing, 2004.

[5] G. Bickerman, S. Bosley, P. Swire, and R. M. Keller, “Learning to create jazz melodies using deep belief nets”, in Proc. ICCC, 2010.

[6] C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions”, in Proc. CVPR, 2015.

[7] F. Bimbot, G. Sargent, E. Deruty, C. Guichaoua, and E. Vincent. Semiotic description of music structure: An introduction to the Quaero/Metiss structural annotations. In Proc. AES 53rd Int. Conf. on Semantic Audio, 2014.

• RA positions in mobile robot navigation guided by natural language at Purdue University (USA). Received: 17/09/2015.

Seeking applicants for one or more potential research assistantships (RA) for people interested in pursuing a PhD at the intersection of computer vision, robotics, natural language processing, machine learning, and AI. These positions are funded by a NSF NRI (National Robotics Initiative) grant to study grounding the semantics of natural language in the navigation of mobile robots. Recent manuscripts describing the project include:

http://upplysingaoflun.ecn.purdue.edu/~dpbarret/tro2015.pdf
http://upplysingaoflun.ecn.purdue.edu/~dpbarret/ralicra2016.pdf

(Please note that these manuscipts are under review and are posted only for the purpose of recruiting graduate students.)

Interested parties can send an informal application to --LOGIN--0dab6676811c413538506e6993e2b4b3purdue[dot]edu including a cover letter expressing what aspects of the project you are interested in and what particular experience and qualifications you bring that are relevant to the project, a CV, your GRE scores (and TOEFL scores if applicable), your undergraduate transcripts, (and your transcripts from a masters degree if applicable). Please include URLs for any prior publications you have in refereed venues. Formal application must be done through the official Purdue University application process for graduate school.

• Research Assistant/Data Analyst at Stanford University (USA). Received: 15/09/2015.

The Center for Interdisciplinary Brain Sciences Research (CIBSR) in the department of Psychiatry at Stanford University School of Medicine is seeking a full-time Research Assistant (Non-Clinical) to help with analyzing large-scale neuroimaging (fMRI/NIRS/EEG) and behavioral datasets from both healthy and patient populations.

Responsibilities will include:
-Developing software/scripts to implement algorithms for data control, data preprocessing/analysis, database management and coordinating data-sharing initiatives
-Developing/running machine learning algorithms to better understand high-dimensional datasets
-Assisting in analyzing research data using specific fMRI Neuroimaging programs and/or software (e.g., FSL, AFNI)
-Helping with designing and developing novel neuroimaging paradigms for data collection
-Collecting new neuroimaging/behavioral data

Applicants should have:
-B.S. (or higher) in electrical engineering, biomedical engineering, computer science, or other related scientific fields
-Strong programming skills in Python, Matlab, or similar languages
-Experience with data science related projects
-Prior research experience (preferred)
-Experience with UNIX Operating systems (e.g., Linux, Mac OSX) and shell scripting (preferred)

General Info:
-The applicant will work closely with the team of faculty, post-docs, and research coordinators to track project progress, meet deadlines, anticipate project needs and communicate with project collaborators outside of the lab, train and supervise undergraduate students to assist with data processing, and train other staff as needed.
-May require extended or unusual work hours based on research requirements and business needs.

Salary and Anticipated Start Date:
-Salary is competitive and commensurate with experience/educational qualifications. Anticipated Start Date is immediate.

Application details:
-Please email Manish Saggar (--LOGIN--2fa9bce382c9fdad1763ea1f35d63207stanford[dot]edu ) to apply, please include a CV including the names of 3 references with your inquiry.

• PhD candidate position in Machine Learning at the Radboud University, Nijmegen (The Netherlands). Received: 14/09/2015.

SNN Machine Learning group at the Donders institute of the Radboud University, is looking for a PhD candidate for the project titled 'GenoMiX: Utilizing crossbred information to accelerate genetic progress'. The project is implemented jointly with the The Animal Breeding and Genomics Centre of Wageningen UR, and is part of the STW Breed4Food partnership program (www.wageningenur.nl/vacancies-breed4food ). The SNN Machine learning group of Prof. Kappen, where the PhD candidate will be hosted, focuses on algorithmic developments in machine learning and Bayesian statistics. See www.snn.ru.nl and www.snn.ru.nl/~bertk. The project is co-supervised by Dr. Kees Albers of the Dept. of Human Genetics, RadboudUMC and Dept. of Molecular Development Biology, also at the Radboud University. The research group of Dr. Kees Albers combines Bayesian statistical modelling with experimental cellular models to identify disease-causing mutations from DNA sequencing data and functional genomics data.

Requirements

Candidates are expected to cooperate in a multidisciplinary team and should be keen on mobility, between the research groups and Breed4Food partners. Good communication skills and fluency in English is expected from all candidates.

Conditions of employment

We offer challenging position in an inspiring multidisciplinary and international environment. You will be part of a research team involving multiple universities. You are expected to spend time at different locations to ensure that you benefit from the partners involved in your project. You will actively engage in meetings organised by the Breed4Food consortium. The proposed start is in the autumn of 2015.

As a PhD candidate, you will be offered a fulltime position for 4 years, after which you should have completed your PhD thesis and individual training plan. The salary for a PhD candidate starts at € 2.125,- gross per month in the first year and extends to a maximum of € 2.717,- gross per month in the fourth year (in accordance with the Collective Labour Agreement for Dutch Universities).

Contract type: Temporary, Onbekend

Additional information about the vacancy can be obtained from: Prof. Dr Bert Kappen (+31 24 36414241, --LOGIN--f364dfc95d4353140761ba7b0e56ceecscience[dot]ru[dot]nl ) or Dr Kees Albers (+31 24 36 67325, --LOGIN--a666827d8ef860f18ac94e39528ac9c3radboudumc[dot]nl ).

For more details:

http://www.ru.nl/donders/jobs/vm/phd-position/

• Research Assistant or Associate in ENergy Efficient Adaptive Computing (ENEAC) at Bristol University (UK). Received: 10/09/2015, Closing date: 11/10/2015.

Based in the Department of Electrical and Electronic Engineering at Bristol University, you will investigate the possibility of creating energy efficient computing systems based on CPU+GPU+FPGA hybrids.

In particular you will focus on developing energy efficient adaptive systems in which tasks are assigned to the computing resource that minimizes overall energy requirements. These systems will vary their voltage and frequency at run-time to adapt to the requirements of the application. Predicting optimal execution resources during application execution and minimizing overheads during state transitions are key milestones required for the success of the project.

The combination of general purpose CPUs, reconfigurable fabrics (FPGAs) and GPUs will be targeted with a common high-level programming language such as OpenCL (Open Computing Language) with special consideration given to functionality and performance portability. A run-time system able to distribute and manage task execution among the different computing resources will be created as part of the research activities.

You will collaborate with industrial partners that will donate the devices embedding the multi-core CPU and GPU technology that will directly interface with an FPGA device in the same board.

You will have extensive C/C++ programming expertise for multi-core CPU and GPUs and have previously worked with OpenCL implementations and compiler technology such as Clang and LLVM. In addition good understanding of the inner workings of the Linux/Android OS and device driver development will be beneficial. Ideally you will also be familiar with high-level synthesis tools from major FPGA vendors and have a PhD degree in Microelectronics or a related discipline.

This post is being offered on a full time, fixed term contract for 1 year in the first instance with the possibility of extension for up to 42 months.

Informal enquiries can be made to: Dr Jose Nunez-Yanez --LOGIN--8f9bf9c9adb1249a48885dc0bba21e09bristol[dot]ac[dot]uk or Simon McIntosh-Smith --LOGIN--64609316940755e4d1b973c65236d2a7bristol[dot]ac[dot]uk

The successful applicant for this vacancy may be appointed either on a fixed term or a open-ended contract depending on the extent of their previous relevant research experience, in line with the University’s Fixed Term Contract Agreement. Further information can be found at www.bristol.ac.uk/hr/ftc/

Salary: £31,342-£35,256 (Grade I), £35,256-£39,685 (Grade J)

Full details here

• Open position for a post-graduate research assistant in Deep Learning, Machine Learning, PSVM, Chemoinformatics, and Statistics at Johannes Kepler University Linz (Austria). Received: 08/09/2015, Deadline: 30/09/2015.

In September 2015 the Institute of Bioinformatics, Johannes Kepler University Linz, joins a European Project (Research and Innovation Actions - RIA) – “Exascale Compound Activity Prediction Engine” (ExCAPE), which is focused on predicting compound bioactivity for the pharmaceutical industry. The contribution of the Institute of Bioinformatics in the context of this project is concentrated in the area of Deep Learning, Machine Learning, PSVM, and Target and Toxicity Prediction. In order to support this project we are looking for a post-graduate research assistant. During the employment the candidate will have the opportunity of enrolling into a PhD study.

The Institute of Bioinformatics has a vacancy for a post-graduate research assistant funded with full employee benefits for a period of 36 months. Applications will be accepted until Sep 30, 2015.

Your field of work will be:
Research in the domain of Deep Learning, Machine Learning, PSVM, Chemoinformatics, and Statistics.

You should have experience in the following areas:
Deep Learning, Support Vector Machines, Machine learning, PSVM, Target and Toxicity Prediction, Platt Scaling, and Isotonic Regression.

H2020 RIA benefits:
The successful candidate will enjoy benefits of full social security, health insurance, pension, parental leave etc.

Please submit your application with resume/C.V., certificates, reports and letters of recommendation to:
--LOGIN--e67157946c351d1f241083f7838d4732bioinf[dot]jku[dot]at

or by post to:
Johannes Kepler University Linz
Institute of Bioinformatics
Prof. Dr. Sepp Hochreiter
Altenbergerstr. 69
A-4040 Linz, Austria

For further information please contact:
Sepp Hochreiter
Phone: +43 732 2468 4521
Email: --LOGIN--33bd74bdbffabd7e6f7d7f0d317d7b6fbioinf[dot]jku[dot]at

• PhD position in machine learning/computational cognitive neuroscience at Radboud University, Nijmegen (The Netherlands). Received: 02/09/2015, Deadline: 04/10/2015.

DEADLINE OCTOBER 4
https://www.languageininteraction.nl/ThirdCallGeneral.html

Encoding and decoding the neural signatures of natural language comprehension

Recent computational advances have made it possible to reconstruct (decode) naturalistic stimuli from neural responses. The project will transfer this approach to reconstructing auditory and linguistic features from brain activity measured while subjects listen to narratives. Work by members of the team (advisory members Roel Willems, Stefan Frank, and Marcel van Gerven) shows (a) the feasibility to describe neural responses by means of stimulus characterization with a computational language model, and (b) that conceptual representations can be decoded from brain activity. The current project joins and extends these studies, paving the way for the development of brain-computer interfaces driven by internal speech, and leading to a fuller understanding of the brain basis of language comprehension under naturalistic conditions.

This position will be held at the Centre for Language Studies (CLS), Faculty of Arts, at Radboud University, Nijmegen.

The mission of CLS is to gain a deeper understanding of the architecture of the language system and its interactions with processes at the individual and the social-cultural level. We study the cognitive processes operative in the production, comprehension and acquisition of language, the historical and social factors determining language variation and change, and the communicative effects of language. We employ a variety of research methods: detailed analyses of linguistic diversity, automated analyses of large scale language and speech corpora, experiments measuring different types of behavior from language users, and computational modeling of language processing.

Requirements

Candidates should have a Research Master’s degree (or equivalent) in (Computational) Linguistics, Cognitive Neuroscience, Artificial Intelligence, or another relevant field of study. A strong background in machine learning is highly valued. They should be familiar with statistical language modelling, and should have demonstrable programming skills . Affinity with Bayesian modelling is desirable. Previous experience with neuroimaging is desirable, but not mandatory.

Applications from excellent candidates with a less than ideal profile will be equally considered.

Contact information PhD position 4:
--LOGIN--5284c14fc6484929e2b4dc63e5d02bd7let[dot]ru[dot]nl and --LOGIN--eb863dc83b68e33b08776167f94052b3mpi[dot]nl

• Two PhD positions in Big Data Processing at the University of Manchester (UK). Received: 29/07/2015.

Two fully funded PhD positions on Big Data Processing in the School of Computer Science at the University of Manchester

Background
The progress in storage capacity and network throughput is currently progressing much faster than the processing power of computing systems.
With heading towards Big Data processing, traditional X86-based data centre technology will unlikely be able to deliver the required performance, energy efficiency and scalability.

In this project, we want to develop and demonstrate new systems for Big Data processing that incorporate FPGA technology for high-performance and low-power processing, 3-D chip manufacturing techniques for high system integration levels, and scalable interconnection networks.

Please note that the funding is bound to European citizens.

For further information please contact:

Partial reconfiguration:
Dr. Dirk Koch (--LOGIN--2cdad93caf21c73520fa79d8ae8c72c9manchester[dot]ac[dot]uk )

3D integration technology:
Dr. Vasilis Pavlidis (--LOGIN--229a85075ac1361e90cddcf1d4aecd4bmanchester[dot]ac[dot]uk )

Network topologies:
Dr. Javier Navaridas (--LOGIN--f05335a436dd3c542359ee18db2f480bmanchester[dot]ac[dot]uk )

• Postdoctoral research position and PhD student position in BCI at Lappeenranta University of Technology (Finland). Received: 24/07/2015.

The research project involves the development of a BCI control robot. Candidates must have a strong background in brain-computer interfaces (BCI) with an academic university degree in Biomedical Engineering, Electrical Engineering, Computer Science, or a closely related field. Experience with Machine Learning and expertise in single-trial EEG analysis is required. The experience in BCI paradigm development or EEG sensor development is beneficial, as well as knowledge of BCI2000, BCILAB.

Please send your application including a cover letter, CV, list of potential referees, list of publications, and copies of certificates for academic degrees to

Huapeng Wu (PhD, Docent)
School of Energy system
Lappeenranta University of technology, 53850 Lappeenranta, Finland
http://www.lut.fi/web/en/
Email: --LOGIN--629be82ff17c3ba2674cf6063c24e610lut[dot]fi
Phone: +358 400191656

• Postdoc and graduate student positions in computational neuroscience and machine learning at the center of advanced european studies and research (caesar), Bonn (Germany). Received: 24/07/2015.

We are seeking postdoctoral researchers and graduate students to join the recently established Max Planck Research Group “Neural System Analysis” lead by Jakob Macke (www.mackelab.org) at research center caesar. Our group investigates how populations of neurons collectively process sensory input, perform computations and control behaviour. To this end, we develop statistical methods and machine learning algorithms for neural data analysis. We maintain close ties with experimental and theoretical research groups in Bonn and the Bernstein Center for Computational Neuroscience Tübingen (www.bccn-tuebingen.de), and extensively collaborate with laboratories performing measurements of neural activity and behaviour at various other locations.

The center of advanced european studies and research (caesar) is an Institute of the Max Planck Society dedicated to the Neurosciences, Cell Biology, and Biophysics, and is embedded in the neuroscience community of the Max Planck Society and the University of Bonn. Caesar provides modern infrastructure and excellent scientific facilities in an attractive building located in the beautiful ‘Rheinaue’ park, in the southern part of Bonn. Caesar offers an international and family-friendly atmosphere, and supports individual development with training programs and seminars.

Applicants should have a strong background in a quantitative discipline (e.g. maths, statistics, physics or computer science) and a genuine interest in understanding neural computation in biological or artificial systems. Prior exposure to machine learning and programming skills is advantageous. Applicants with interest in combining computational and experimental work in collaboration with the department of Jason Kerr at caesar are also encouraged to apply. We particularly encourage female students and researchers to apply.

Screening of applications will begin August 15th. The starting date is flexible. Application materials should include a CV including university grades, a brief statement of research interests, contact details of two referees and one or two work samples-- anything that is genuinely the own work of the applicant, e.g. a thesis, computer code, a research manuscript or an essay.

Please contact Jakob Macke (--LOGIN--2269763a7b97cc3f9351d2ddbdd7b3edcaesar[dot]de , www.mackelab.org) for informal enquiries, and submit your application at http://www.caesar.de/jobs-phd.html.

• Postdoctoral researcher in Systems Neuroscience at the University of California, San Diego (USA). Received: 22/07/2015.

The BioCircuits Institute (BCI) and Departments of Physics, Chemistry/Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities.

The ideal candidate will have experience with electrophysiology, with awake behaving animals, with neural modeling, and/or with biologically inspired integrated circuits and systems.

Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved.

We will accept applications immediately. To be considered, please submit your complete application by Friday, 31 July 2015. We will begin making selections from the completed applications on 3 August 2015. The Committee will continue to accept and review completed applications as they are received until the position is filled.

Appointments are for two years (in one-year increments) with the possibility of a third.

Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: --LOGIN--d4e6e5afc8dc0e41e26a1fe882040a1bgmail[dot]com .

A Ph.D. or equivalent doctoral degree is required prior to the appointment.

UCSD is an EO/AA employer.

• Puesto de Bioinformático/a en la Unidad de Bioinformática del Centro de Genómica e Investigación Oncológica (GENYO), Granada (Spain). Received: 22/07/2015.

El contrato tiene una duración de dos años y está financiado por el plan la Promoción de Empleo Joven e Implantación de la Garantía Juvenil. Es requisito para poder optar a este puesto tener menos de 25 años y estar inscrito en el fichero del Sistema Nacional de Garantía Juvenil (condiciones en http://www.empleo.gob.es/es/garantiajuvenil/queesGJ.html)

Las actividades a desarrollar estarán centradas principalmente en la implementación de pipelines de análisis para datos de secuenciación masiva (rnaSEQ, dnaSEQ y ChipSEQ) y otras tecnologías -omicas

Se busca una persona con las siguientes características
- Licenciatura en ciencias de la vida, Ingeniería en informática o similar
- Experiencia en el procesado y análisis de experimentos de alto rendimiento (microarrays, NGS, etc)
- Conocimientos avanzados de Linux/Unix
- Conocimientos de al menos un lenguaje de programación (Ruby, Perl, Python, Java,...)
- Nivel medio/alto de inglés hablado y escrito

Se valorará:
- Tener experiencia en puestos similares
- Experiencia en el análisis de datos de secuenciación masiva
- Conocimientos del entorno de análisis estadístico R
- Experiencia en el desarrollo de aplicaciones web (Rails, PHP, JSP)
- Experiencia en entornos de computación paralela

Las personas interesadas pueden enviar el CV al siguiente contacto:
Dr. Pedro Carmona (--LOGIN--fcbbac9769e6bbe12caf655e16b431degenyo[dot]es ).

• Open position for an Experienced Researcher in Machine Learning, Deep Learning, Bioinformatics, and Comparative Genomics at Johannes Kepler University Linz (Austria). Received: 21/07/2015, Closing date: 14/08/2015.

In February 2013 the Institute of Bioinformatics, Johannes Kepler University Linz, joined a European Project (Marie-Curie ITN) - Mr.SymBioMath (www.mrsymbiomath.eu) which is focused on the problem domain of Comparative Genomics. The contribution of the Institute of Bioinformatics in the context of this project is concentrated in the area of Bioinformatics, Machine Learning, and Genomics. In order to support this project we are looking for an Experienced Researcher.

The Institute of Bioinformatics has a vacancy for an Experienced Researcher funded with full employee benefits for a period of 12 months.
Applications will be accepted until Aug 14, 2015.

Your field of work will be:
Research in the domain of Machine Learning, Deep Learning, Bioinformatics, and Comparative Genomics

You should have experience in the following areas:
Machine learning, Deep Learning, LSTM, R, Latent variable models, I/NI calls, SNPs, and Genetic variants

Marie Curie FP7-People ITN benefits:

Marie Curie Fellows will enjoy benefits of full social security, health insurance, pension, parental leave etc. Competitive monthly living and mobility allowance, yearly travel allowance, a career exploratory allowance, and coverage of the expenses related to your participation in research and training activities (contribution to research-related costs, meetings, conference attendance, training actions, etc.).

http://ec.europa.eu/research/mariecurieactions/careers_en.htm

Eligibility:

The applicant will be required to satisfy the eligibility criteria for Marie Curie Experienced Researchers:

Experienced Researchers must, at the time of recruitment or be in possession of a doctoral degree, independently of the time taken to acquire it or have at least four years of full-time equivalent research experience, including the period of research training, after obtaining the degree which formally allowed them to embark on a doctorate in the country in which the degree was obtained or in the country of the host institution to which they are seconded or recruited (irrespective of whether a doctorate was envisaged or not).

The researcher may not have resided or carried out his/her main activity in Austria for more than 12 months in the 3 years immediately prior to his/her appointment. Short stays such as holidays are not taken into account.
The researcher must move to Linz.

Please submit your application with resume/C.V., certificates, reports and letters of recommendation to:

--LOGIN--e67157946c351d1f241083f7838d4732bioinf[dot]jku[dot]at
or by post to:

Johannes Kepler University Linz
Institute of Bioinformatics
Prof. Dr. Sepp Hochreiter
Altenbergerstr. 69
A-4040 Linz, Austria

For further information please contact:

Sepp Hochreiter
Phone: +43 732 2468 4521
Email: --LOGIN--33bd74bdbffabd7e6f7d7f0d317d7b6fbioinf[dot]jku[dot]at

• PhD studentship in EEG analysis at University of Geneva (Switzerland). Received: 20/07/2015, Closing date: 15/09/2015.

We are looking for a candidate with a solid background in signal processing for a fully funded PhD position at the Swiss Center for Affective Sciences and Computer Vision and Multimedia Laboratory (CVML), University of Geneva. The research, to be undertaken by the student, focuses on analyzing the interactions between facial expressions and electroencephalogram (EEG) signals with the aim of reducing unwanted interferences and recognizing emotions. Research will involve recording and analyzing EEG signals and facial expressions using Bayesian estimation methods.

Please consult the following page for the full job description and application procedure:

http://cvml.unige.ch/jobs

• Postdoc in Computational Visual Neuroscience at the Neuroscience Institute of Alicante (CSIC) and the Universitat de Valencia (Spain). Received: 16/07/2015.

The Neuroscience Institute of Alicante (CSIC) and the Universitat de Valencia are involved on a multiyear project to study neural computation and coding in visual cortex. We have an opening for a 3 year postdoc position to model information processing in the retina-cortex pathway.

Job title: “The human camera: compressive sensing in brain networks and decoding from neural responses” (see additional information about the project at http://isp.uv.es/bmi.html )

Applications are invited for the above position to work with Dr. Luis Martinez (Neuroscience Institute of Alicante, CSIC, http://thevisualanalogylab.wix.com/valab) and Dr. Jesús Malo (Image & Signal Processing Lab, Universitat de Valencia, http://isp.uv.es ). The aim of this work is understanding dimensionality reduction in the retina-cortex bottleneck and enabling image reconstruction from actual neural recordings at cortical level. The “Human Camera” could be seen as a new Brain Machine Interface for image transmission in which the nontrivial/adaptive feature extraction stage is done by a brain instead of by the conventional compression algorithm. The input signal should be reconstructed from the neural signal at the receiver.

Candidates must be in possession of a doctoral degree in computational neuroscience, machine learning, physics, mathematics or engineering. Preference will be given to candidates with experience and genuine interest in vision science phenomena and models.

Work will be developed both at the Neuroscience Institute of Alicante and at the Universitat de València, with strong collaboration between the experimental and theoretical members of the team.

Salary: according to CSIC Postdoc scales including social security, health insurance benefits, and travel money.

Contact: Please email --LOGIN--b9e6de6fc89a0be0f15c75a427aaceebuv[dot]es or --LOGIN--02a044bbb64eadd2a8f8800c0952bde5gmail[dot]com for any queries about the position.

• Postdoc position at EPFL (Switzerland). Received: 15/07/2015.

Postdoctoral position at the Processor Architecture Laboratory (EPFL)

There is no deadline for this position but screening will start mid-August 2015 and we will fill it as soon as we find an excellent candidate

Information about EPFL and LAP

EPFL is Europe's most cosmopolitan technical university with students, professors and staff from over 120 nations. A dynamic environment, open to Switzerland and the world. The School of Computer and Communication Sciences (I&C) is one of the main European centres for education and research in the field of Information Technology.

Excellent computing systems are the result of a judicious blend of smart computer architecture, efficient compiler technology, and effective VLSI implementation. The choices in each of these areas must strongly depend on the technical possibilities offered in the others. At LAP, we want to understand better how to exploit synergies across the above fields and we wish to pass this knowledge over to our students. My group has good track record of placing postdoctoral researchers in faculty positions.

Major responsibilities

The candidate is expected to lead and coordinate research threads, coach PhD and MSc students, prepare grant proposals, and devise new research directions.

Qualifications

I am looking for outstanding, self-driven, independent candidates with the following features:

- A PhD Degree in Computer Science, Computer Engineering, or Electrical Engineering
- A broad interest in scientific problems ranging from electronic design automation to computer architecture
- A strong publication record in top conferences and journals
- Excellent verbal and written communication skills
- The ability to work as part of a highly motivated team
- Experience coaching students is a plus

Applying

Simply, send me --LOGIN--4e8998f84278c1aab83f37b03f6b06a8epfl[dot]ch your application by email including the following:

- Complete CV, inclusive of a list of publications
- 1-page motivational statement
- Two references

• PhD Position in Conjunction of FPGA and Neurosciences at the Institut Pascal, Clermont-Ferrand (France). Received: 07/07/2015.

Silly cam network:
Neuro-inspired approach to vision using
an ultra-distributed camera network

Scientific context

Recent advances in wireless technologies facilitate the deployment of distributed perception systems, with applications ranging from scene understanding to security. We introduce silly cams, which are a kind of smart cameras, adopting very low resolution (e.g. 322 pixels) associated with very limited processing resources. A redundant network of such cameras would nevertheless compensate for their limited capabilities.

Our motives consist in designing an ultra-redundant perception system in order to improve robustness. To achieve this goal, strong collaboration between silly cams is required, adopting neuro-inspired distributed learning methods to find structure from local noisy information. In a metaphorical way, individual silly cams would act as neurons, interacting to form a brain. Quoting Aristotle, the whole is more than the sum of its parts.

The roadmap for this PhD would be:

· Modeling of a network of silly cams: manipulate camera location, redundancy in fields of view, scheduling, communication, processing (to extract basic semantics and spatiotemporal structure)

· Design of a silly cam node: combination of low cost CMOS imagers, Wifi 802.11 interface, and FPGA based dynamically reconfigurable hardware. Cameras will interact through a 6LoWPANlayer (IPv6 Low power Wireless Personal Area Network), thus adopting an Internet of Things approach (IoT).

· Development of sensor models and abstraction tools (middleware) adapted to distributed and adaptive computing with reconfigurable hardware

· Implementation of the whole system on a realistic test bed: smart factory of the future, smart building, smart urban environment

Academic context

DREAM, the embedded Architecture and Multi-sensors Research Group at the Institut Pascal (Clermont-Ferrand) is working on hardware and software development of advanced computer vision architectures. The group was formed in 2008 and until now we have been lucky to work with two visiting professors/researchers and more than 10 graduate students. The group is performing research in the following areas:

· Design of smart cameras
· Image processing architectures
· Software methods and tools for embedded systems
· Many-Core architectures

An important objective of our group is to conduct research in close collaboration with industry and other academic groups.

More details on http://dream.univ-bpclermont.fr

Conditions

The monthly net salary is 1450 euros for a 3-year contract, with French social security included. For 2014-2015, PhD tuition fees was around 450 euros. Health insurance for students over age 20 costs 200 euros a year and covers most of the medical expenses. Cost for basic student rooms in Clermont-Ferrand is less than 300 euros/month.

Application

Applicants are expected to have a background in one of the following fields (preferentially several):

· Architecture design / digital electronics (VHDL and/or embedded systems)

· Applied mathematics (numerical simulation, geometry, image processing)

· Computer science (programming, software engineering)

· Computational neuroscience (e.g. neural fields)

· Multi-agent systems (cooperative)

· Machine learning (unsupervised learning, deep learning)

The PhD would ideally start in September/October 2015.

Please contact

François Berry (--LOGIN--f6ce5e4dd284de9950aa1ebeaf9c63eeuniv-bpclermont[dot]fr ) or
Jean-Charles Quinton (--LOGIN--3b43db1721bf44613ae981512e0b6024univ-bpclermont[dot]fr )

to obtain further information or to apply (providing a CV)

• Fully funded PhD position in Brain-inspired Self-repairing Electronic Systems at Ulster University (UK). Received: 02/07/2015, Closing date: 10/07/2015.

A fully funded PhD position is available at the Intelligent Systems Research Centre, Ulster University, UK, in Brain-inspired Self-repairing Electronic Systems.

Background
Applications are invited for a PhD studentship in Brain-inspired Self-repairing Electronic Systems. The proposed PhD project work is part of the recently funded 3½ year EPSRC project ‘SPANNER’ (EP/N00714X/1) which investigates the development of brain-inspired self-repairing systems, and is in collaboration with the Department of Electronics, University of York. The PhD project will build upon existing investigations at Ulster into the development of highly reliable, large-scale computing systems, where hardware building block have been developed to support brain inspired hardware architectures. In particular, at Ulster we have shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons. We have also developed computer models that demonstrate not only how faults are detected but also how the brain performs repairs. The proposed PhD project will investigate the development of a novel self-repair strategy for computing systems. The concept will explore current thinking on how the human brain performs repair using “astrocyte” cells (glia cells), and will explore how the key principle of this mechanism can be used in the context of electronic systems to provide a novel repair strategy in hardware. Currently an existing software model of a self-repairing astrocyte-neuron network is available and this will be an initial functional specification for the self-repairing hardware strategy.

The key research aim is to use the software model of the astrocyte-neuron network and explore how to effectively and efficiently map it to FPGA hardware. Synapse and neuron building blocks for FPGAs have been demonstrated by the Ulster team and will be initially used in the hardware design. The research will look to optimise the FPGA implementation for scalability and this will include the design of astrocyte cells, 3-terminal synapses and interconnectivity between cells, synapses and neurons. An FPGA-based implementation of a demonstrator will be explored to showcase the levels of resilience to injected faults. The successful candidate will be located at the Intelligent Systems Research Centre on the Magee campus of the Ulster University however, aspects of the work will require short research visits to collaborate with project partners at the University of York. Requirements Candidates should hold, or expect to hold a first or upper second class honours degree in Electronic/Electrical Engineering, Computer Engineering, Computer Science or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills experience and interests. Successful candidates will enrol as of 1st October 2015, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy.

Award
The studentship will comprise fees and an annual stipend of £14,057. It will be awarded for a period of up to three years subject to satisfactory progress and is tenable in the Faculty of Computing and Engineering.

Further Information
If you wish to receive further information please contact: Dr. Jim Harkin (--LOGIN--19b56fa6f6bb4fed00c603e7f8190486ulster[dot]ac[dot]uk )

Procedure
For more information on applying go to www.ulster.ac.uk/research

Apply online via www.ulster.ac.uk/applyonline

Closing date and interviews
The closing date for receipt of completed applications is 10th July 2015.

Interviews will be held in July 2015.

Start Date: Oct-Dec 2015

• Opening for a Postdoctoral Researcher in Reinforcement Learning at the University of Oxford (UK). Received: 01/07/2015, Closing date: 29/07/2015.

Fixed term for 2 years from 1 October 2015, or as soon as possible thereafter

Grade 7: Salary £30,434 – £37,394 p.a.

An opening for a full-time Postdoctoral Researcher in Reinforcement Learning has arisen in the Department of Computer Science. The aim of this project is to develop a new class of reinforcement learning and sample-based decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimisation of control policies for autonomous agents.

Reporting to Professor Shimon Whiteson, the focus will be on policy-search methods for reinforcement learning, and techniques such as stochastic optimisation, Bayesian optimisation, and Bayesian quadrature are expected to play a key role. It offers an interesting balance of both theoretical work, as well as an extensive empirical analysis on challenging tasks from robotics and information retrieval.

You should have a PhD in Computer Science or related area (or be very close to completion), with good knowledge of the current state-of-the-art in machine learning, evidenced by a track record of research in the areas of machine learning or decision-theoretic planning (or a related area). Experience of conducting large-scale experiments with large-scale datasets and knowledge of the current state-of-the-art in reinforcement learning and decision-theoretic planning are highly desirable.

The closing date for applications is 12 noon on 29 July 2015.

For further details and to apply please visit: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=119004

• Postdoc position in Computational Neuroscience at Imperial College London (UK). Received: 01/07/2015.

Computational Neuroscience Laboratory
Headed by Dr. Claudia Clopath
Department of Bioengineering
Imperial College London

Requirements:
The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. PostDoc funding is secured for at least 2 years.

Research topic:
Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PostDoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks.

The lab:
The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London.

More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/lab/

How to apply:
Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com , with the subject containing 'Postdoc2015'. In addition, candidates should organize two letters of reference to be sent to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com . The position is open until filled but the earlier applications will be considered first.

• Computational Neuroscience Positions at Sandia National Laboratories, New Mexico (USA). Received: 29/06/2015.

We are seeking computational neuroscientists to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Preference will be given to candidates using computational approaches, broadly defined, to understand visual cortex and perception, but we welcome applicants from all areas of computational neuroscience. Example research topics of interest include computational models of visual cortex, neural circuitry underlying perception, and the neural basis of decision-making.

Candidates should have a strong background in neuroscience, and an understanding of relations between neuroscience, cognitive science, and computation. Experience or familiarity with related machine-learning fields is also desired. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. Staff members at Sandia are expected both to contribute to ongoing projects and to develop new lines of research with potential for application in solving complex problems. This position is located at Sandia's Albuquerque, NM, USA site.

Multiple positions for varying levels of experience are available. For more information and to apply, visit http://www.sandia.gov/careers/ and click “View All Jobs”. Go to the Advanced Search, then search for Job Opening ID 650198. For questions please contact Frances Chance (--LOGIN--eb9862e60c7d08d1d436ded1a06898b6sandia[dot]gov ) or Brad Aimone (--LOGIN--73873e3a8166158c4e0c3370f0763a2bsandia[dot]gov ).

• Postdoc position in deep learning for multivariate and heterogeneous time series at University Pierre et Marie Curie, Paris (France). Received: 26/06/2015.

The machine learning group at University Pierre et Marie Curie (UPMC) in Paris, is looking for a highly motivated postdoc on the topic “Deep learning for multivariate and heterogeneous time series”.

This work is part of a EU-RFCS project “Predictive Sensor Data Mining for Product Quality Improvement” (PRESED). The general goal of the PRESED project is the improvement of quality of steel production plants by the online analysis of multiple sensor data. The sensors provide complex multivariate and heterogeneous time series covering the whole production chain. The objective of the postdoc is the development of new statistical methodologies based on deep learning and representation learning for the analysis of such time series. This topic offers a unique opportunity to explore and extend the field of deep learning on complex temporal data and will be conducted in close collaboration with ArcelorMittal Global R&D (coordinator of the European project).

The successful candidate will have a strong background in machine learning, applied statistics or related fields. He should also have an experience in large size experimental data analysis. Preference will be given to candidates with sufficient programming skills.

The appointment is initially for one year (extendable depending on work progress), between july and september 2015. Gross annual salary is in the range 30, 000 – 35, 000 euros.

UPMC is in the center of Paris and is one of the foremost scientific universities in France. The position is opened at the Machine Learning and Information Access (MLIA) team, whose core research is machine learning with applications in semantic (text and image) data analysis. The team is composed of 3 professors and 3 assistant professors plus around 10 PhDs and Postdocs.

Candidates should send a CV and an accompanying letter to --LOGIN--05bd8be38628701f2fa7d42cc9600114lip6[dot]fr .

• Contrato predoctoral en la Universidad Politécnica de Madrid (Spain). Received: 23/06/2015, Deadline: 29/06/2015.

El Grupo de Investigación en Ingenierí­a del Software (GrISE) de la Escuela Técnica Superior de Ingenieros Informáticos de la Universidad Politécnica de Madrid busca candidat@ para una beca FPI asociada al proyecto de investigación TIN2014-60490-P titulado “Realizando Experimentos en la Industria del Software: Comprensión del paso de Laboratorio a la Realidad”.
El objetivo del proyecto es la realización de experimentos controlados en distintas empresas de desarrollo de software.

Buscamos candidat@s con buen nivel de inglés.
Es deseable tener conocimientos sobre Ingenierí­a del Software Empí­rica.

Los interesad@s deben enviar su CV a Natalia Juristo (--LOGIN--59294e12c305218e934adced02d3cd02fi[dot]upm[dot]es ).
El plazo de solicitud finaliza el 29 de junio.

Se puede encontrar más información sobre la convocatoria en
http://www.boe.es/boe/dias/2015/06/12/pdfs/BOE-A-2015-6508.pdf

• PhD and postdoc positions in Neuroscience at the University of Oslo (Norway). Received: 19/06/2015.

2 PhD Research Fellowships in Neuroscience. Two doctoral fellow positions are available at the Department of Physiology at the University of Oslo. The positions are associated with the laboratory of Associate Professor Koen Vervaeke for a period of 3 years. The positions are available from the 1st of October 2015. For more information about the lab: www.vervaeke-lab.org

Job description

We are searching for highly motivated candidates with a strong interest in cortical circuits. We study cortical circuit functions in fully awake behaving animals using optical and electrophysiological methods.

One position is funded by the European Research Council to study the role of neural inhibition in sensory processing. The project aims to unravel the role of specific neuron types in the barrel cortex while animals perform a sensory perception task. The candidate will use state of the art in vivo two-photon imaging techniques to record neuronal activity, and optogenetic perturbations to identify cell-specific contributions to sensory processing.

The second position is funded by the University of Oslo to study the role of the retrosplenial cortex in associative learning. This project aims to develop new behavior tasks in combination with two-photon imaging or extracellular recording to reveal novel functions of this enigmatic part of the cortex.

We offer training possibilities in the required experimental methods within a stimulating academic environment.

Qualifications

Highly motivated students with a degree in biology, medicine, computer science or engineering are encouraged to apply. Experience in electrophysiology and/or optical imaging, or computational neuroscience is an advantage. Good programming skills (Matlab/Python/LabVIEW) and a critical and organized sense for data analysis are a big plus. Basic knowledge of the fundamentals of neuroscience is desired.

3-Year Postdoc position at the interface of systems- and cellular neuroscience funded by an ERC startup grant, to study the role of neural inhibition in sensory processing in mice performing perceptual tasks using two-photon functional imaging and electrophysiology. Ideal applicants should have a background in at least one of the following disciplines; electrophysiology, rodent behavior, two-photon microscopy or optogenetics. The experiments will be closely linked to computer simulations of dendritic integration in cortical pyramidal neurons that will be performed by other members of the lab. The candidate should have steady hands and be creative to trouble-shoot new rodent behavior protocols. Good programming skills (Matlab/Python/LabVIEW), being critical and organized in analyzing data, and experience with microcontrollers (ex. Arduino) or FPGAs are all a big plus. Highly motivated candidates that do not fulfill all the criteria will have the opportunity to learn the necessary skills in the lab, or will spent a training period abroad. Ideally, candidates should aim to start before November 2015.

For all inquiries, please email Koen Vervaeke: --LOGIN--fff7c1e3432933ffcb5f1f99141d3832ibv[dot]uio[dot]no

• Contrato predoctoral en la Universidad de Valladolid (Spain). Received: 19/06/2015, Deadline: 29/06/2015.

Se adjunta una oferta de contrato predoctoral financiado por el Ministerio, asociada a un proyecto de investigación.

Proyecto TIN2014-58876-P PROGRAMACION HOMOGENEA PARA ARQUITECTURAS HETEROGENEAS, del grupo Trasgo de la Universidad de Valladolid.
Investigador principal: Dres. Diego R. Llanos (--LOGIN--5af35c043e3623ce30ede0cb6a52f54binfor[dot]uva[dot]es ) y Arturo González (--LOGIN--4ea4cb206d40d2089a5208c3dfb63b98infor[dot]uva[dot]es )

La información de la convocatoria está accesible a través este enlace:
http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=fed2bf0be2c6d410VgnVCM1000001d04140aRCRD

El plazo de solicitud para los interesados finaliza el 29 de junio de 2015.

Descripción del trabajo a realizar:

La convocatoria es la de becas FPI (Formación de Personal Investigador), asociadas a proyectos de investigación financiados por el Ministerio. En este caso, nuestro proyecto HomProg-HetSys ha obtenido financiación para tres años, y una beca FPI asociada al proyecto.

La obtención de la beca implica que el candidato debe matricularse en el programa de doctorado de la Universidad de Valladolid y trabajar a tiempo completo en el grupo de investigación Trasgo, para la realización de las labores de investigación relacionadas con el proyecto, y desarrollar así su tesis doctoral.

El proyecto HomProg-HetSys se centra en avanzar en la obtención de un modelo de Programación Homogeneo que permita desplegar los ejecutables generados en Sistemas Heterogenos de forma eficiente. Es decir, que de un modelo de programación única se generen ejecutables que en tiempo de ejecución, utilizando características de los componentes heterogeneos que conforman la plataforma, se adapten a la misma para obtener un buen rendimiento.

Esto implica problemas relacionados con los lenguajes, modelos de transformación, ejecución especulativa y problemas asociados al reparto de carga, la planificación, etc. En general problemas de mapping.

El tema de la tesis del doctorando asociado a esta beca estará centrado en el estudio de los problemas de mapping en clusters de sistemas heterogeneos con procesadores multicore y manycore, como GPUs, Intel Xeon Phi, etc.

• Contrato predoctoral en la Universidad de Santiago de Compostela (Spain). Received: 18/06/2015, Deadline: 29/06/2015.

Contrato Predoctoral FPI en el Centro de Investigación en Tecnologías de la Información de la USC (CiTIUS)

Para la realización de una tesis doctoral en el marco del proyecto de investigación “SOFT COMPUTING PARA SOPORTE A LA INTELIGENCIA DE NEGOCIO EN SOCIAL WORKFLOWS (TIN2014-56633-C3-1-R)” recientemente concedido de la Unidad de Sistemas Inteligentes del CiTIUS

Los candidatos deberán realizar investigación en nuevos modelos y en la aplicación de técnicas de Computación Flexible a Flujos de Trabajo de tipo Social en algunas de las áreas que se indican a continuación (o directamente relacionadas):
- Minería de procesos
- Satisfacción de Restricciones en flujos de trabajo
- Generación automática de descripciones lingüísticas de procesos

Es imprescindible acreditar formación en el desarrollo de software, así como un alto nivel de inglés hablado y escrito.

Condiciones y procedimiento: las indicadas en la convocatoria.
Plazo: hasta el 29 de junio

Mas información:
Manuel Lama Penín y Manuel Mucientes (IPs del proyecto)

• Contrato predoctoral en la Universidad de Sevilla (Spain). Received: 18/06/2015, Deadline: 29/06/2015.

Referencia: TEC2014-53103-P Escuela de Ingenieros, Universidad de Sevilla.

Requisitos: Dirigida a estudiantes de master de último curso (o de estudios equivalentes), que puedan matricularse en el programa de doctorado en 2015.

Temática: Statistical signal processing, component analysis techniques, blind source separation, compressed sensing, machine learning

Véase el portal del Ministerio para tramitar la solicitud:

http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=fed2bf0be2c6d410VgnVCM1000001d04140aRCRD

Contacto: Dr. Sergio Cruces (--LOGIN--9512f7014cef0ba8cf77d29c99ef2b38us[dot]es )

• Contrato predoctoral en la Universidad Jaume I, Castellón de la Plana (Spain). Received: 18/06/2015, Deadline: 29/06/2015.

Proyecto TIN2014-53495-R COMPUTACION HETEROGENEA DE BAJO CONSUMO, del grupo HPC&A de la Universidad Jaume I.

Investigador Principal: Prof. Enrique Quintana (--LOGIN--24782a979118bc5bc110c544cea7ac0fuji[dot]es ).

La información de la convocatoria está accesible a través este enlace: http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=fed2bf0be2c6d410VgnVCM1000001d04140aRCRD

El plazo de solicitud para los interesados finaliza el 29 de junio de 2015.

• Contrato predoctoral en la Universidad Complutense de Madrid (Spain). Received: 17/06/2015, Deadline: 29/06/2015.

El grupo UCM-GRASIA ofrece una beca FPI.
Se trata del proyecto TIN2014-57028-R - DESARROLLLO COLABORATIVO DE SOLUCIONES AAL

En este proyecto se desarrolla el concepto de “virtual living lab” que permite experimentar aplicaciones de ambient assisted living (AAL) mediante simulación 3D.
Se utiilzan técnicas de desarrollo dirigido por modelos, simulación 3D, sistemas multi-agentes, entornos inteligentes, cooperación p2p, aplicaciones móviles, etc.
Este proyecto está relacionado con un proyecto europeo vigente (p2pvalue,eu) y otros propuestos (en las áreas de aging well y AAL), lo cual facilita la colaboración internacional con otros socios académicos e industriales.

Como el plazo de solicitud es muy corto, recomendamos a los interesados contactar con Juan Pavón (--LOGIN--5a106e7e58b02fe1498221bbc8ecafd3fdi[dot]ucm[dot]es ).

Más información sobre la convocatoria en: http://goo.gl/MjqNCD

• Contrato predoctoral en la Universidad de Málaga (Spain). Received: 17/06/2015, Deadline: 29/06/2015.

Nuestro grupo de investigación busca un candidato para una beca FPI asociada al proyecto de investigación TIN2014-58304-R “SEMANTICA EN UNA PLATAFORMA DE ANALISIS DEL BIG DATA”.

Estamos interesados en candidatos motivados, con buen nivel de inglés y que quieran realizar su tesis doctoral dentro de nuestro grupo de investigación. El candidato deberá tener preferiblemente conocimientos de Web Semántica, Linked Data y Big Data.

El plazo de solicitud finaliza el 29 de Junio de 2015 a las 15.00 horas. Por ello, rogamos a los interesados contacten cuanto antes con José F. Aldana (--LOGIN--e268d71c99c4d70402c0264d54756f28lcc[dot]uma[dot]es ).

Más información sobre la convocatoria en el BOE que publica las bases (http://www.boe.es/boe/dias/2015/06/12/pdfs/BOE-A-2015-6508.pdf).

• Contrato predoctoral en la Universidad Autónoma de Madrid (Spain). Received: 16/06/2015, Deadline: 29/06/2015.

El grupo de modelado e ingeniería del software (http://miso.es) del departamento de informática de la Universidad Autónoma de Madrid busca candidato para una beca FPI asociada al proyecto “Flexor: Flexible Model-driven Engineering for Mobile, Open, Dynamic Data Systems” (TIN2014-52129-R) subvencionado por el ministerio. El objetivo del proyecto es el desarrollo de técnicas MDE flexibles, y su aplicación a la generación automática de aplicaciones móviles con datos abiertos y redes sociales.

El plazo de solicitud finaliza el 29 de Junio. Los interesados pueden ponerse en contacto con Juan de Lara (--LOGIN--a9e791d160ac096a7f7a921b2d893f60uam[dot]es )

Más información sobre la convocatoria en: http://goo.gl/MjqNCD

• Contrato predoctoral en la Universidad de Málaga (Spain). Received: 15/06/2015, Deadline: 29/06/2015.

Nuestro grupo de investigación busca un candidato para una beca FPI asociada al proyecto de investigación TIN2014-52034-R “An MDE Framework for the Design and Integration of Critical Infrastructure Management Systems”, que trata de combinar técnicas de MDE y CPS (Cyber-Physical Systems) para el diseño e integración de Sistemas de Gestión de Infraestructuras Críticas.

Estamos interesados en candidatos motivados, entusiastas, con ganas de trabajar y que quieran realizar su tesis doctoral dentro de nuestro grupo de investigación y en un entorno internacional.

El plazo de solicitud finaliza el 29 de Junio de 2015. Por ello, rogamos a los interesados contacten cuanto antes con Antonio Vallecillo (--LOGIN--adbc6ca382af110a6fd353419727fc17lcc[dot]uma[dot]es ).

Mas informacion sobre la convocatoria en el BOE que publica las bases (http://www.boe.es/boe/dias/2015/06/12/pdfs/BOE-A-2015-6508.pdf) y en la página web del Ministerio: http://bit.ly/1cWG3En

• Contrato predoctoral en técnicas de Aprendizaje Automático y Computación Evolutiva, en la Universidad Carlos III de Madrid (Spain). Received: 15/06/2015, Deadline: 29/06/2015.

El proyecto de investigación “APRENDIZAJE Y OPTIMIZACION EVOLUTIVA PARA PREDICCION E INTEGRACION DE RADIACION SOLAR” del grupo EVANNAI del Departamento de Informática de la Universidad Carlos III de Madrid tiene concedido un contrato predoctoral cuya convocatoria ha sido publicada en BOE el día 12 de Junio.

Se solicitan candidatos dispuestos a trabajar en técnicas de Aprendizaje Automático y Computación Evolutiva.

Es imprescindible conocimientos de programación y alto nivel de inglés hablado y escrito. Se valorará conocimientos de R y/o Python, especialemnte aplicados a tareas de predicción y optimización.

Los interesados pueden realizar la solicitud siguiendo las instrucciones de la convocatoria.

• PhD Traineeship on computational cognitive models of psycholinguistic processes at Radboud University (The Netherlands). Received: 12/06/2015, Closing date: 05/07/2015.

Maximum salary: € 2,717 gross/month
Closing date: 05 July 2015, 23:59 CET
More information:
http://www.ru.nl/newstaff/vacaturebeschrijving?tk=uk&recid=556519

The Dutch research consortium 'Language in Interaction' invites applications for a 4-year PhD traineeship on the topic of computational cognitive models of psycholinguistic processes. You will carry out research as a member of one of the PI-groups of the Centre for Language Studies at Radboud University under supervision of Dr. Stefan Frank.

The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The consortium has representatives from seven universities and one research institute in the Netherlands. These are Radboud University (RU), University of Amsterdam (UvA), University of Maastricht (UM), Leiden University (LU), Utrecht University (UU), Erasmus University Rotterdam (EUR), Tilburg University (TiU), and the Max Planck Institute for Psycholinguistics (MPI). Excellence in the domain of language and related relevant fields of cognition is combined with state-of-the-art research facilities and a research team with ample experience in complex research methods and utilization. Together, this consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else in the world.

The current position will be embedded in the Centre for Language Studies at Radboud University. This centre conducts research in an international setting. English is the lingua franca.
Your graduate training will take place in the International Max Planck Research School for Language Sciences.

Click here for more information on this PhD position and how to apply.
http://www.ru.nl/newstaff/vacaturebeschrijving?tk=uk&recid=556519

• Postdoctoral Fellow in Computational Neuroscience at the University of Cambridge (UK). Received: 12/06/2015.

We are seeking a highly creative and motivated postdoctoral fellow (research associate or senior research associate) to work jointly in the groups of Guillaume Hennequin and Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge
(http://learning.eng.cam.ac.uk/).

Our groups study dynamics and computation in neural circuits using a combination of approaches from dynamical systems, control theory, and statistical inference. The jointly led project will combine normative with bottom-up approaches to study the neural implementation of challenging computations. Areas of interest include balanced network dynamics, synaptic plasticity, and Bayesian inference.

The successful candidate will have a strong analytical background and demonstrable interest in theoretical neuroscience. They should have or be close to completion of a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field. Previous experience in computational neuroscience is not required, but preference will be given to candidates with sufficient programming skills to run numerical simulations, or expertise with neural network models, analysis of dynamical systems, and Bayesian techniques.

The appointment will be for 1 year initially (extendable subject to funding) starting 1 October 2015 or as soon as possible thereafter. Salary depends on experience and is in the range £28,695 - £48,743 p.a.

Further information:
http://www.jobs.cam.ac.uk/job/7261/
http://www.jobs.cam.ac.uk/job/7176/

For informal queries, please contact
Guillaume Hennequin --LOGIN--6d06a25e3e3993c3bf5089bebae703bceng[dot]cam[dot]ac[dot]uk or
Mate Lengyel --LOGIN--e0a2cbc8c09026acadaaf4a04ce8054deng[dot]cam[dot]ac[dot]uk .

• Post-doc on computer vision algorithms at the Centre for Intelligent Sensing, Queen Mary University of London (UK). Received: 11/06/2015.

Applicants are expected to demonstrate expertise in computer vision and should have experience in programming (e.g. C, C++, OpenCL, MATLAB). Significant knowledge of image processing and/or embedded algorithms and/or parallel programming and/or wireless communications, is also desirable.
Contact: --LOGIN--0cc25e2544d121374c74b18b2be75edbqmul[dot]ac[dot]uk .
Website: http://cis.eecs.qmul.ac.uk.

• Four PhD positions on audio-visual sensor processing for smart spaces at the Centre for Intelligent Sensing, Queen Mary University of London (UK). Received: 11/06/2015.

Candidates should have a first class honours degree or equivalent (or MSc Degree) in Computer Science, Mathematics, Physics, Engineering, and Statistics or a related discipline, and must be able to demonstrate strong mathematical and analytical skills, and programming skills in Matlab and C++. Background in visual or audio information processing, machine learning or pattern recognition, and experience in using relevant libraries (e.g. OpenCV) is also desirable.
Contact: --LOGIN--0cc25e2544d121374c74b18b2be75edbqmul[dot]ac[dot]uk .
Website: http://cis.eecs.qmul.ac.uk.

• Software Engineer - C++ multimedia processing and parallelisation at the Centre for Intelligent Sensing, Queen Mary University of London (UK). Received: 11/06/2015.

The project involves development and parallelisation of a multimedia processing framework in C++. The candidate will implement a set of functions for multimedia processing in order to improve the overall result of an existing framework and to optimise its functions by parallelising the processes. The existing framework sequentially processes audio and video streams of multiple video files given in input, and provides in output an enhanced version of the input files.
Required knowledge: C++, OpenCV, ffmpeg, Windows and Linux environments, APIs creation.
Desirable: Qt, real-time programming, app development for multimedia files.
Contact: --LOGIN--0cc25e2544d121374c74b18b2be75edbqmul[dot]ac[dot]uk or --LOGIN--0912858a8dacd3199db1c191144cc246qmul[dot]ac[dot]uk .
Website: http://cis.eecs.qmul.ac.uk.

• Two postdoctoral positions in recording and statistical analysis of population activity at the MTA Wigner Institute, Budapest (Hungary). Received: 10/06/2015, Deadline: 29/06/2015.

We are inviting applications for two postdoctoral positions at the Pattern Research Group which is affiliated with the MTA Wigner ResearchCentre for Physics (Budapest, Hungary) and MTA Institute for Experimental Medicine and is sponsored by a prestigious National Brain Research Program grant. The primary focus of the research group is the characterization of activity patterns of large-scale neural populations in the hippocampus and the understanding of the computational principles underlying its dynamically changing states.

The unparalleled performance of the nervous system is due to the fast and parallel processing of information that is achieved by the coherent activity of networks of neurons. Recent advancements in recording techniques provides access to high temporal resolution data from hundreds of identified neurons during task performance of animals. Understanding the organizational principles underlying the high-dimensional activity patterns has become a fundamental challenge of neurobiology. We are seeking highly motivated candidates for one post in computational/theoretical neuroscience and one in electrophysiology to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. Details of the two posts can be found below.

Postdoctoral fellow in theoretical/computational neuroscience

The ideal candidate has a strong mathematical background, preferably with a PhD in physics, computer science, or mathematics or other quantitative disciplines. Besides mathematical skills, the position requires competence in programming (e.g. matlab, R, python, or C++). Candidates with training or research experience in statistics, machine learning, computational modelling, dynamical systems are especially encouraged to apply. Training in neuroscience is not required but the applicant has to demonstrate his/her willingness to acquire the necessary background for the project. High dimensional neuronal data is recorded by the experimental part of the group (Attila Gulyas, Institute for Experimental Medicine) but the candidate will have the opportunity get experience with cutting-edge neuronal recording techniques to design of novel experiments based on the analysis of the recorded data. The successful applicant will be co-supervised by Gergő Orbán and András Telcs.

Postdoctoral fellow or PhD student in hippocampal electrophysiology

The ideal candidate has a strong background in in vitro or in vivo electrophysiology or optical imaging to take part of this challenge and to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. The primary task of the candidate will be to set up the equipment and to monitor the activity of large (>100) populations of hippocampal neurons in vitro, and later in head-restrained mice using optical imaging techniques and genetically expressed Ca2+ indicators. Preprocessing and to a given depth the analysis of the rough data also expected. The high-level analysis of the recorded data is performed by the theoretical part of the group (led by András Telcs and Gergő Orbán, MTA Wigner Centre for Physics) but basic knowledge of statistics is essential and previous experience with signal processing or programming (Igor, Python, Matlab or similar language) is advantageous and contribution to that part of the project is expected, based on the load of the experimental part. The applicant will be supervised by Attila Gulyás.

The expected starting date of the position is 1 September 2015 but the start date of the position is negotiable. Initial appointment is made for one year but can be extended to three years upon successful evaluation. The work is based in the PATTERN lab at the MTA Wigner Institute (Budapest, Hungary) but requires regular interactions with the experimental partners at the Institute for Experimental Medicine (Budapest).

For further information please visit the project website
http://pattern.wigner.mta.hu.

For informal inquiries please contact
Gergo Orban (--LOGIN--a4ce0287e7a1bc13acd658d68d1d3ae2wigner[dot]mta[dot]hu ) or
Andras Telcs (--LOGIN--c62137ff8afa77fb6bf78407c4e0b0b8gmail[dot]com ).

Please send applications, including CV, a research statement and contact information of two references by email to András Telcs before 30 June.

• Fully funded PhD position on Causal Discovery at Radboud University Nijmegen (The Netherlands). Received: 10/06/2015, Deadline: 31/07/2015.

Radboud University Nijmegen invites applications for a fully funded PhD position. You will conduct research in the context of the NWO Top project Causal Discovery from High‐Dimensional Data in the Large‐Sample Limit, a joint project of Prof. Tom Heskes at Radboud University Nijmegen and Prof. Aad van der Vaart at Leiden University.

Application deadline: July 31, 2015
Preferred starting date: September 1, 2015
Duration: 4 years

The project

Discovering causal relations from data lies at the heart of most scientific research today. The main challenge in this project is to develop robust algorithms and theory for establishing cause effect relationships from observational data that scale up to large data sets. As a team, we will work not only on conceptual ideas, but also on more theoretical ideas and computational advances. The project will demonstrate and assess the power of these algorithms by applying them to ecological and biomedical data. Your research will focus on the development of novel algorithms and their application to real-world data.

Work environment

You will perform research as part of the Machine Learning group within the Intelligent Systems section of the Institute for Computing and Information Sciences (iCIS). The Machine Learning group carries out fundamental and applied research on different aspects of machine learning. We care to show that our theories and algorithms work in practice, by applying them in various different domains, especially in neuroscience and bioinformatics. iCIS and Intelligent Systems received excellent ratings in the latest national research evaluation exercise for computer science.

What we expect from you

You must hold an MSc or equivalent, having demonstrated top performance in a field that is closely related to computer science, artificial intelligence, or mathematics. You should have an interest in conducting original scientific research, publishing the results at top conferences and in scientific journals, and participating in teaching activities. Maturity, self-motivation and the ability to work both independently and as a team player in local and international research teams are expected. You should have an excellent command of written and spoken English. Prior experience with machine learning or statistics will be considered an asset. Programming experience will definitely be helpful.

What we have to offer

- competitive salary and additional benefits;
- open, interactive, international working environment;
- access to excellent computing facilities;
- living in Nijmegen, a university town with extensive cultural offerings, scenic surroundings, and a historic center

Would you like to know more?

For further information, including instructions on how to submit your application, see the official advertisement:

http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?recid=556121

Informal inquiries can be made to Tom Heskes (--LOGIN--c9245d6a7919fc9551ee68cf2980194cscience[dot]ru[dot]nl ).

• Postdoctoral Research Position in artificial/computational intelligence and game design at New York University (USA). Received: 10/06/2015.

The Game Innovation Lab at New York University is looking for a postdoctoral researcher to work on game generation (the procedural generation of complete games) or other closely related topics at the intersection of artificial/computational intelligence and game design. Tasks would include collaborative research with an interdisciplinary team of faculty and PhD students at the forefront of game engineering, mentoring research students and contribute to further research proposals. The successful candidate would report to Professor Julian Togelius, and also be expected to collaborate with Professor Andy Nealen and other lab members.

The ideal candidate for this position has a PhD focusing on applying AI techniques to games, a good understanding of game design, an inquisitive and open mind, and a willingness to work on ambitious goals.

The NYU Game Innovation Lab is part of the School of Engineering and located in Downtown Brooklyn. The lab is focused on developing new technologies for games, and using technology to understand game design and playful interaction. The lab's faculty includes leading researchers in artificial intelligence, human-computer interaction, graphics and game design. A growing body of PhD students work on research problems in all of these fields, and interdisciplinary research collaboration is strongly encouraged. The lab also enjoys strong ties to the NYU Games Center, which houses leading games scholars and designers.

The position is for one year initially.

To apply, send a mail to --LOGIN--94be150f63871c61d85a2569ed7ca2f0togelius[dot]com including your CV, links to representative publications and a motivated statement. The subject of the mail should be “postdoc-nyu-2015”. The position will be kept open until a suitable candidate is found; a decision is not likely to be made before July.

• Postdoctoral Fellow in Machine Learning/Computational Linguistics at the University of Liverpool (UK). Received: 05/06/2015, Deadline: 28/08/2015.

We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.

You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, connectionist/deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.

The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms. The research topics and approaches are open to negotiation. Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.

More information is available here:
https://sites.google.com/site/sentenceproductionmodel/news

Employer: University of Liverpool
Title: Post-doctoral fellow
Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
Deadline: 28th August 2015
Date Posted: 2nd June 2015
Apply:
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/

• PhD/Postdoc positions in computational modeling in neuroscience at Radboud University, Nijmegen (The Netherlands). Received: 05/06/2015, Deadline: 24/06/2015.

Our lab (www.ccnlab.net) recently received funding for a PhD and postdoc position at the interface between machine learning (deep learning, Bayesian modeling, computational linguistics) and neuroscience:

http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?taal=uk&recid=556419&pad=%2fenglish

http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?taal=uk&recid=556421&pad=%2fenglish

The positions deal with the development of new computational models to probe how naturalistic representations are encoded across the cortical surface.

For the PhD position, we are looking for candidates with a Master’s degree in cognitive (neuro)science, computational neuroscience or a related area of research. Candidates should have excellent programming skills, a strong mathematical background and prior experience with acquisition of neural data.

For the postdoc position, we are looking for candidates with a PhD degree in machine learning, artificial intelligence, computational neuroscience, applied mathematics or a related area of research. Candidates with a degree in cognitive neuroscience and a strong mathematical background would also be eligible.

Start of the project is negotiable but preferably September 2015.

• PhD positions in Computational Neuroscience/Biology at SIMULA, Oslo (Norway). Received: 01/06/2015, Deadline: 03/08/2015.

Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD) collaboration: https://www.simula.no/education/suurph-collaboration
PhD-candidates will expectedly spend about 3 years in Oslo (UiO or SIMULA) and about year at UCSD.

Possible PhD-projects include: modeling of interaction between ion channels and psychoactive drugs, modeling of memory processing in hippocampus and entorhinal cortex, modeling of liquid flow in the brain, biophysical modeling of EEG and MEG signals, biomechanical modeling of the human brain. For more info on projects see: https://www.simula.no/suurph-projects

Students interested in becoming a SUURPh fellow should consult the Applicant's page: https://www.simula.no/students-page.
Here you will find all relevant information and instructions to submit your application.

• Postdoc position in High-Performance Computer Architectures at Chalmers University of Technology (Sweden). Received: 29/05/2015, Deadline: 01/09/2015.

The Computer Engineering division at Chalmers Univ. of Technology, Sweden, is active in the subject areas of computer architectures, computer graphics, dependable real-time systems and VLSI circuit design. In particular, the Computer Architecture research group (within which this research is conducted) has a solid track record in contributing to design principles of high-performance and embedded computing systems, aiming primarily at better performance, energy and power efficiency, as well as security and reliability.

The primary objective of the research related to this position is to improve the efficiency of High-Performance computers, enhancing them with reconfigurable accelerators. This research is part of the upcoming ECOSCALE (FET-HPC / Future Emerging Technologies – High Performance Computing) Horizon-2020, EU funded project.

Major responsibilities:

The candidate is expected to perform independent research in the area of the position. The candidate is further expected to enrich the research in the group by participating in seminar series and give advice and mentor PhD students in the group. Finally, the candidate is expected to also carry out departmental and teaching duties corresponding to 20% of his/her time.

About the research topic:

Power-density is becoming a significant limiting factor for the design of High-Performance computers. Single-chip performance does not scale well, expending significant hardware and energy costs for delivering speedups. To this end, we are recruiting one Post-Doctoral researcher to work in the field of HPC architectures exploiting reconfigurable hardware to improve computational density per Watt as well as per unit volume (ultra-high-density systems). Topics of interest include hardware/software codesign, analysis and partitioning of applications, programming environments and runtime systems.

Position summary:

Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications:
The candidates shall have a PhD Degree in Computer Science, Computer Engineering, or Electrical Engineering with a PhD thesis in the area of Computer Architecture or in a closely related field.

The candidate is expected to perform independent research. Moreover, excellent analytical and communication skills in speaking and in writing are required. Successful candidates will further have good engineering (programming and hardware design) skills as well as significant experience and a profound interest in High-Performance and Reconfigurable Computing.

Prior experience with European projects as well as with mentoring students is considered a plus, although not mandatory.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure:

The application should be marked with Ref 20150205 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

• Application: (Please name the document in the e-recruitment system as: APPLICATION, Surname, reference number)
− CV, include complete list of publications
− Previous teaching and pedagogical experiences
− Two references that we can contact.

• Personal letter/Qualifications: (Please name the document as: QUALIFICATIONS, family name, ref. number) 1-3 pages where you introduce yourself present your qualifications and describe your future research plans.
− Previous research fields and main research results.
− Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

• Other:
− Attested copies of completed education, grades and other certificates.
− The applicants best scientific publications (not more than 5)
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: September 1, 2015

Link for the online application can be found here:
http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx

For questions, please contact:
Associate Professor I. Sourdis,
CE division, CSE dept.
homepage: http://www.cse.chalmers.se/~sourdis/
Tel. +46 31 772 1744
E-mail: --LOGIN--2052d845ff34e7efe3ce7411f4316164chalmers[dot]se

• PhD position on Secured heterogeneous platform for hardware-assisted information flow control at CentraleSupélec Rennes (France). Received: 28/05/2015, Deadline: 15/06/2015.

PhD proposal - Hardened and efficient FPGA coprocessor for software/hardware DIFC

- Title: Hardened and efficient FPGA coprocessor for software/hardware DIFC.
- Keywords: FPGA, embedded processor, security, information flow control, partial reconfiguration, hardware/software co-design.
- Context: The general context of the project is to address Dynamic Information Flow Control that generally consists in attaching marks to denote the type of information that is saved or generated within the system. These marks are then propagated when the system evolves and information flow control is performed in order to guarantee a safe execution and storage within the system. Existing solutions imply a large overhead induced by the monitoring process. Some attempts rely on a hardware-software approach where DIFC operations are delegated to a coprocessor. Nevertheless, such approaches are based on modified processors. Beyond the fact hardware-assisted DIFC is hardly adopted, existing works do not take care of coprocessor security and implementation and multicore/multiprocessor embedded systems.

Application details are written in the announcement.

For any further information, please contact Dr. Pascal Cotret
--LOGIN--f51a12a8f1014f49fd6b35f373dbb4afcentralesupelec[dot]fr

• Postdoctoral position in Human Connectomics at Indiana University (USA). Received: 27/05/2015.

Postdoctoral/Assistant Research Scientist Position in Human Connectomics

Indiana University is making a multi-year, multi-million dollar investment to create and expand the infrastructure for research and training in network science through the establishment of the Indiana University Network Science Institute (IUNI – http://iuni.iu.edu).

IUNI seeks applicants for a postdoctoral position as Assistant Research Scientist in the area of Human Connectomics. This position will be appointed for a two-year term with the possibility of renewal based on exemplary performance and continued funding. The position involves close collaboration with the Computational Cognitive Neuroscience Laboratory (www.indiana.edu/~cortex – Head: Olaf Sporns) and the Indiana University Center for Neuroimaging (http://neuroimaging.medicine.iu.edu/ - Director: Andrew J. Saykin). Research goals focus on the application of sophisticated network analysis and modeling methods to multimodal human neuroimaging data sets, including advanced diffusion imaging, structural MRI and resting-state fMRI, in both healthy and clinical populations. A major application focus is on prodromal stages of Alzheimer’s disease and many other clinical populations, including TBI, non-CNS cancer and psychosis, are also being investigated. In addition to close collaboration with Drs. Sporns, Saykin and colleagues, the successful candidate will be encouraged to interact with IU’s growing community of network scientists.

A full position description and instructions for how to apply can be found at: https://indiana.peopleadmin.com/hr/postings/1490

For informal inquiries please contact Olaf Sporns at --LOGIN--a3c50cead3f5c91c838cf056e6d175a8indiana[dot]edu

• Full Professor Position in Learning Systems at Ulm University (Germany). Received: 25/05/2015, Deadline: 14/06/2015.

The Faculty of Engineering and Computer Sciences at Ulm University in Germany invites applications for a tenured

Full Professor Position (W3) on Learning Systems

in the Institute of Neural Information Processing.

More details can be found here:
http://jobs.ieee.org/jobs/full-professor-position-w3-on-learning-systems-baden-wurttemberg-89081-78109186-d

• Postdoc position in real-time 3D EEG visualization at Inria Rennes (France). Received: 21/05/2015.

We have a postdoc position open in real-time 3D brain-activity visualization (EEG) at Inria Rennes / France.

The position is within the CominLabs project SABRE in collaboration with Telecom Bretagne.
The project concerns developing real-time EEG source localization methods in software and hardware using either portable or high-density EEG devices (e.g. 256 electrodes) with applications in Brain-Computer Interfaces (BCI), neurofeedback, and re-education. The offered position centers around proposing and evaluating novel real-time visualization methods in this context.

For more information, please see:
http://openvibe.inria.fr/openvibe/wp-content/uploads/2015/05/position-PostdocVisualizationSABRE.pdf

• PhD position in Bioengineering and Robotics at the University of Genoa (Italy). Received: 20/05/2015, Deadline: 10/06/2015.

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, at the PSPC-lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy.

* RESEARCH THEME

“Integration of motion-in-depth multi-sensory information flows in the peripersonal space”.

Description: While there is a growing evidence that the space immediately around the body (i.e., the peripersonal space) is coded in a distributed way across several coexisting reference frames, our knowledge of how different representations are aligned, adapt, and interact is still in its infancy. Where, when, and how does the brain implement the internal models underlying the sensorimotor transformations that guide both our actions and perceptions? Is the encoding of sensory information static, or does it change dynamically as the action unfolds? Looking for answers to these questions should help understanding how an agent should use sensing and proprioception-like signals dynamically to build sensorimotor representations of peripersonal space and self-calibrate.
Within the research framework developed in the PSPC lab at DIBRIS, the goal of the project is to investigate how different cross-modal information can enable arm and hand-related actions in the peripersonal space. Specifically, the focus will be on the development of a neuromorphic cognitive system for detecting/encoding motion-in-depth multimodal information flows relative to body parts. The underlying models, besides advancing experimental predictions about neuronal activity, are expected to drive learning of meaningful interactions with the environment thus achieving fluid multi-dimensional motor control in the presence of multiple sensory channels, and with minimal a priori knowledge.

Requirements: background in bioengineering, computer science, physics or related disciplines, strong interest in computational and theoretical neuroscience.

The project will provide the opportunity to work on neural modeling, visual psychophysics, robotics, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude.

Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment.

The position will start on Nov 1st 2015.

* HOW TO APPLY

Candidates must have:
- a University degree at Master level (or expect to obtain it by 31 October 2015) in Engineering, Computer Science, Physics or related disciplines
- strong interest in computational neuroscience, and an open mind for interdisciplinary research.

Online application is available till June 10, 2015 at 12.00 noon (Italian time).

Full details on the call and the application procedure will soon be available at:
http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ENG/ and
http://phd.dibris.unige.it/biorob/index.php/how-to-apply

Applicants are strongly requested to contact me (--LOGIN--1312f43690c2a1f415fd572a2b0c5907unige[dot]it ), providing CV and qualifications, and a description of the research interests.

* WHERE

DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics.

PSPC-Lab (www.pspc.unige.it), has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space.

• Postdoc position in Sleep and Cognition lab (EEG/ERP) at the University of California, Riverside (USA). Received: 20/05/2015.

We are seeking a postdoc researcher in Sara Mednick’s Sleep and Cognition (SaC) Lab in the Department of Psychology at the University of California, Riverside.

This researcher will be investigating mechanisms of memory formation during waking and sleep. Successful candidates may have any of the following skills: experience in memory or sleep research (human or animal), EEG/ERP methodologies, programming skills, applying signal processing and non-linear analysis techniques to EEG recordings. Position is available in the fall of 2015.

Researchers must possess a doctoral degree.

The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension.

Please send your CV, statement of research interests and the names of three references or make inquires to Sara C. Mednick --LOGIN--1e5a71f1c251f5b83840ac5a7da3a65ducr[dot]edu .

• New Lectureships and Post-doctoral fellowships at Goldsmiths University Of London (UK). Received: 18/05/2015, Closing date: 08/06/2015.

Goldsmiths' Computing is now hiring, with a number of lectureships now available, plus our innovative Post-Doctoral Teaching and Research fellowships.

We have general lectureships in Computer Science and Computational Arts, and specialist games lectureships.

We have one full time lectureship in any area of either Computer Science or Computational arts and a 0.5 lectureship in either field. We particularly welcome applications that relate to some of our key teaching and research specialisms like Physical Computing, Data Science/Machine Learning/Interactive Machine Learning or Audio-Visual Interaction (this list is slightly biased to my interests, see the advert for a full list of specialism).

http://jobs.theguardian.com/job/6088464/lecturer-teaching-and-research-in-computing/?LinkSource=PremiumListing

http://jobs.theguardian.com/job/6088449/lecturer-teaching-and-scholarship-in-computer-science/?LinkSource=PremiumListing

http://jobs.theguardian.com/job/6088498/lecturer-teaching-and-scholarship-in-computational-arts/?LinkSource=PremiumListing

We have two Video Games/Graphics lectureships, one in programming (with a focus on C++ and graphics) and the other (0.5) in Art and Design:

http://jobs.theguardian.com/job/6088485/lecturer-teaching-and-research-in-graphics-and-games-programming/?LinkSource=PremiumListing

http://jobs.theguardian.com/job/6088471/lecturer-teaching-and-scholarship-in-games-art-and-design/?LinkSource=PremiumListing

Finally, our Postdoctoral Teaching and Research Fellowships provide a fantastic opportunity for those of you who have just finished or are writing up a PhD and want to take a first step into an academic career. You would have a split between research and teaching time, just like a full lecturer. In your research time you would be free to pursue your own research interests as you please (including writing up and publishing your PhD) but would do so within one of our research groups that would provide mentorship from eperienced academics, particularly with applying for funding. In terms of teaching, you would be responsible for planning and delivering sessions within major undergraduate courses, but you will always be team teaching with an experienced academic, who will mentor you in your transition into teaching.

http://jobs.theguardian.com/job/6088503/post-doctoral-teaching-and-research-fellows-multiple-positions/?LinkSource=PremiumListing

Please consider applying, we are really excited to be joined by new, dynamic academics.

• Graduate Research Assistantships in BCI at Old Dominion University (USA). Received: 10/05/2015.

The Advanced Signal Processing in Engineering and Neuroscience (ASPEN) Laboratory at Old Dominion University (ODU) is seeking qualified and ambitious graduate research assistants for several funded Brain-Computer Interface (BCI) projects. Preference will be given to Ph.D. students with experience in signal processing, machine learning, and/or neural engineering, although outstanding Masters students will also be considered. Programming experience in Matlab and C++ is desired. A background in neuroscience is also desirable, but not mandatory. The research assistantships offer a competitive stipend and tuition waiver. Graduate research assistants will be expected to contribute to experimental design, data collection, data analysis, technical publications; and assist with supervising lab activities for BCI projects.

The ASPEN Lab collaborates with the Mayo Clinic Florida Neurology Department to conduct original Electrocorticographic (ECoG)-based BCI studies. The lab also maintains active collaborations with Wadsworth Center and several prominent BCI labs around the world. For more information on the ASPEN Lab visit: www.odu.edu/~dkrusien/. Recent graduates from the ASPEN Lab have accepted tenure-track faculty positions and postdoc positions at Columbia and UC San Francisco.

The Batten College of Engineering and Technology (BCET) at ODU offers MS and PhD degrees in Electrical, Biomedical, and Mechanical Engineering (among others). ODU is a state-assisted, Carnegie doctoral/research institution enrolling nearly 25,000 students. The University’s main campus is in Norfolk, Virginia, a major seaport. The University is in close proximity to various attractions including Virginia Beach, Colonial Williamsburg, Busch Gardens, and NASA Langley.

Applicants should email a cover letter, resume, academic transcripts, GRE scores, 1-3 peer-reviewed publications, and contact information for 3 references to:

Dean Krusienski, Ph.D.
Director, ASPEN Laboratory
Graduate Program Director, Biomedical Engineering
Associate Professor, Electrical & Computer Engineering
Old Dominion University
--LOGIN--733ddc267c8ea993e463e6e2a84e183aodu[dot]edu

Review of applications will begin immediately and continue until the positions are filled. Candidates are expected to start in Fall 2015 or Spring 2016.

• Postdoc position in computational modeling, in-vivo electrophysiology and optogenetics at MIT (USA). Received: 01/05/2015.

Postdoctoral position
The neural basis of interval timing and temporal coordination in the basal ganglia and cortex
Jazayeri lab
MIT

The project combines computational modeling with in-vivo electrophysiology and optogenetics to understand the neural basis of interval timing and temporal coordination in neural circuits connecting higher cortical areas to the basal ganglia. The ideal candidate will have experience in awake, behaving non-human primate electrophysiology with a strong interest in computational models of behavior. Candidates with no prior experience with in-vivo electrophysiology will not be considered.

Applicants should submit a CV, a 1-page description of their relevant background and expertise, a 1-page research statement of interest with respect to the project, and names and email addresses of three referees. To apply or ask questions, please contact Mehrdad Jazayeri at MIT (--LOGIN--0084e4a2b6bba70e7cf83685cb9e2380mit[dot]edu ).

• Postdoctoral research associate in AI for robotics at the Australian Centre for Field Robotics, The University of Sydney (Australia). Received: 29/04/2015, Closing date: 26/05/2015.

The Australian Centre for Field Robotics (ACFR) is looking for a postdoctoral research associate who has demonstrated research excellence in machine learning and wants to be part of a growing interest in novel machine learning techniques for robotic systems.

Link – POSTDOCTORAL RESEARCH ASSOCIATE 881/0415

The ACFR is based in the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) at The University of Sydney, and is dedicated to the research, development, application and dissemination of autonomous and intelligent robots and systems for operation in outdoor environments. The ACFR is a large multidisciplinary team of researchers and engineers with backgrounds in computer science, aeronautical and mechatronic engineering, physics and mathematics. It is the largest field robotics and automation research group in Australia and is also one of the largest of its kind in the world. It has been instrumental in developing breakthrough technologies and in conducting world-leading research and development of field robotics principles and systems.

To be successful in the role you will have:

- A PhD, or in the process of being awarded one, in computer science, computer engineering or other engineering related degrees
- Expert knowledge in machine learning and in particular those related to deep learning techniques
- Demonstrable experience in developing algorithms for segmentation and classification in computer vision
- Demonstrable experience in developing working algorithms for learning using large data sets
- Experience in software development
- Publications in top machine learning conferences and journals such as NIPS, ICML, UAI, JMLR.

The position is full-time fixed term for one year. Further offers are possible subject to funding and need and are subject to the completion of a satisfactory probation period for new appointees.

To be considered for this position it is essential that you address the online selection criteria. For guidance on how to apply visit: How to apply for an advertised position. Please note that resumes need to include contact details of at least three referees and a list of publications.

Remuneration package: $98,053 - $105,254 p.a. (which includes a base salary of $82,856 - $88,941 p.a., leave loading and up to 17% employer’s contribution to superannuation).

Specific enquiries about the position can be directed to Professor Salah Sukkarieh, Professor of Robotics and Intelligent Systems on 02 9351 8154. General enquiries can be directed to Ugo De Gori on 02 8627 1234.

CLOSING DATE: 26 May 2015 (11pm Sydney time)

• Staff position as computer scientist/scientific programmer at the Max Planck Institute for Brain Research, Frankfurt am Main (Germany). Received: 28/04/2015, Deadline: 07/06/2015.

Max Planck Institute for Brain Research
Department of Neural Systems and Coding

The Max Planck Institute for Brain Research in Frankfurt am Main/Germany is an innovative and growing research facility of the Max Planck Society for the Advancement of Science. The Department of Neural Systems and Coding (Prof. Dr. Dr. Gilles Laurent) is part of the interdisciplinary neuroscience campus in Frankfurt/Riedberg where the new MPI building is located. Research in the Department aims to understand the physiology of perception with an experimental focus centered on neural computation, neuronal coding and integration. To support our international team of biologists, computer scientists and physicists, we invite applications for a full time staff position as

Computer scientist/Scientific programmer

starting as soon as possible, initially with a fixed-term contract for two years.

We seek a self-driven and interactive individual with deep commitment to science. Excellent knowledge of and experience with MATLAB, algorithm development, data handling, processing and analysis are required. We further expect strong programming skills and experience with management, storage and access of large datasets, Linux and, Windows or MacOS platforms. Applicants should be familiar with a scientific environment. Knowledge of computational neuroscience and practice in computer vision, image processing, object recognition, automatic processing and control of behavioral experiments would be of advantage.

Candidates are expected to hold a degree in a quantitative field involving computational work, such as computer science, physics, applied math, electrical engineering or comparable re-search experience. Graduate work at Masters or PhD level (science exposure) is a plus.

We offer a competitive salary based on TVöD (Bund) (Collective Wage Agreement for Government Service Workers (Federal Government)) depending on qualifications and professional experience as well as various fringe benefits in accordance with public service provisions. You can expect an interesting, responsible and varied job in a young, international and interdisciplinary team.

The Max Planck Society is an equal opportunity employer and is striving to increase the proportion of women in areas where they are under-represented. It therefore expressly encourages female applicants. The Max Planck Society is striving to employ more individuals with disabilities. It therefore expressly encourages applicants with disabilities. Please submit your application (in English, single PDF file) by email (HR(at)brain.mpg.de) until June 07, 2015 to

Max Planck Institute for Brain Research
-Human Resources-
Max-von-Laue-Str. 4
60438 Frankfurt am Main
HR(at)brain.mpg.de

• PhD studentship in Computational Neuroscience at University of Sussex (UK). Received: 24/04/2015, Deadline: 15/06/2015.

A PhD studentship in Computational Neuroscience for 3 years is available in the group of Prof Thomas Nowotny from September 2015. The studentship forms part of a new research project on olfactory sensing financed by the Human Frontiers Science Program. The work in the project is designed to investigate how animals can use fine temporal information in odour stimuli to recognise “odour objects”, i.e. meaningful combinations of chemicals that indicate the presence of a behaviourally relevant odour.

The project involves research groups from Germany, Japan, the USA, and the UK, working in areas ranging from electrophysiology to computational modelling and robotics.

The studentship in Sussex will be focused on data analysis and computational modelling of brain networks. We are looking for a talented student with an interest in computational work. Applicants from all disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to learn dynamical systems analysis, and creative scientific thinking.

The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton. As part of the project you will travel to the project partners worldwide.

The studentship covers a stipend (Currently £13,863 annually, tax free) and fees at the level of UK/EU citizens.

Application: Please apply through the post-graduate application system of the University of Sussex:

http://www.sussex.ac.uk/study/pg/applying/2015entry

Please include a brief statement of your scientific interests and skills/experience in the mandatory “research proposal”, including how you would imagine your role in the HFSP project (max 2 pages) and include a full CV. Indicate Prof Nowotny as your preferred advisor and mention the HFSP project.

When you apply, please send a copy of your application documents to --LOGIN--375bdaaf13e491291cac229df387034dsussex[dot]ac[dot]uk

Do not hesitate to get in touch at this address for any informal enquiries.

Deadline: Applications will be considered on a rolling basis but candidates applying before 15 June can be sure to be considered.

• Postdoctoral Position in Decision Neuroscience at Trinity College Institute of Neuroscience, Dublin (Ireland). Received: 24/04/2015, Closing date: 08/05/2015.

Post-doctoral Researcher in Decision Neuroscience.

Trinity College Institute of Neuroscience and School of Psychology.

Duration: Up to Three years.

Salary Range: €37,750 - €42,394

Closing date for applications: 8th May 2015

Applications are invited for a Postdoctoral research position at the Decision Neuroscience laboratory of Redmond O’Connell. The position is funded by the European Research Council and the successful applicant will have the opportunity to engage in an ambitious programme of research characterizing the neural mechanisms that enable adaptive decision making in the human brain. Reflecting the multi-modal approach of the O’Connell lab, these studies will involve a range of research methodologies including psychophysics, computational modelling, electrophysiology (EEG), eye tracking, pupilometry and transcranial direct current stimulation.

The O’Connell lab comprises numerous undergraduate, postgraduate and postdoctoral researchers, providing a rich environment for exchanging ideas and learning new skills. The laboratory is based at the Trinity College Institute of Neuroscience which hosts state-of-the-art facilities including magnetic resonance imaging and a dedicated EEG suite.

Applicants must have a Ph.D. in neuroscience or a related field and have experience and strong interest in cognitive neuroscience. Applicants with a background in engineering who fulfil these criteria are welcome to apply. The candidate must have strong analytic skills, be proficient in programming (especially Matlab), and have experience in psychophysics and EEG recording and analysis. Experience with computational modelling, magnetic resonance imaging or transcranial stimulation techniques is a strong plus. The ideal candidate will be reliable, highly motivated and productive, and enjoy working collaboratively.

Applicants should send a curriculum vitae, contact information for 2-3 references, and a cover letter with a brief description of past research accomplishments as well as future research interests and career goals to Assistant Professor Redmond O’Connell --LOGIN--2900bed0d2481b446131c314ee892a25tcd[dot]ie .

For more information on The O’Connell Lab see:

https://www.tcd.ie/Neuroscience/partners/PIProfiles/Redmond_OConnell.php

For more information on the Trinity College Institute of Neuroscience see:

https://www.tcd.ie/Neuroscience/

• Faculty Position in Quantitative Life Sciences at ICTP, Trieste (Italy). Received: 23/04/2015, Deadline: 03/06/2015.

FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES
AT THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS (ICTP).

ICTP is seeking applicants for a new faculty position in its recently established Quantitative Life Sciences (QLS) research section. QLS responds to the theoretical challenges arising from recent advances in large-scale experiments in biology and neurosciences.

The successful applicant will play a leading role in establishing the new section, promoting cutting-edge research in quantitative biology and supervising graduate students. Areas of interest include systems biology, biological networks, systems and computational neuroscience. Applicants should have an outstanding international reputation with at least 4 years of scientific research experience.

The position, which will start in October 2015, will be at the P3 UNESCO level, with a starting salary of $78100. Other benefits include family allowance, home travel, education grant for dependent children, pension plan and medical insurance. Full details of the position, along with a link to the UNESCO online application, are available on ICTP's employment webpage and at
http://www.ictp.it/about-ictp/personnel-office/employment.aspx

The deadline is 3 June 2015.

For further information please contact ICTP's Personnel Office at --LOGIN--41af2867530a3873f80db83afc4d71dfictp[dot]it .

ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world.

• Senior Level Faculty Position in Experimental Nano-Optics at Georgia State University (USA). Received: 23/04/2015.

Senior Level Faculty Position in Experimental Nano-Optics
Center for Nano-Optics and Department of Physics and Astronomy, Georgia State University, Atlanta, GA, USA

The newly organized Center for Nano-Optics (CeNO) and the Department of Physics and Astronomy at Georgia State University (GSU) are seeking to fill a faculty position at a senior tenured faculty position (Full Professor) in experimental nanooptics and nanoplasmonics. The senior faculty member will strongly enhance experimental programs in nanooptics at GSU, will attract significant extramural funding, and will collaborate with other members of CeNO and faculty of the GSU Departments of Physics and Astronomy, Chemistry, Biology, and other GSU units. Candidates for the Senior Faculty position must meet all requirements for Full Professor, including doctorate in Physics, Chemistry, or Engineering, proven and sustained record of academic success and recognition, high-impact publications, and an excellent history of extramural funding. We are seeking candidates who have received national and international recognition for accomplishments in research and applications in nano-optics, nanoplasmonics, ultrafast optics, and/or related fields. This position carries a highly competitive salary, attractive benefits, and an excellent startup package commensurate with the candidate’s qualifications. Specific details are negotiable.

Applications should include 1) a CV, including a publication list, 2) a statement of the candidate’s research interests and how the research compliments that at GSU, 3) a statement of teaching experience and philosophy, and 4) contact information for at least three references. All materials should be submitted via email to --LOGIN--db23921ec4e56c8971863de62e6f5538phy-astr[dot]gsu[dot]edu to the attention of Dr. Mark Stockman, Director of CeNO and Distinguished University Professor, Center for Nano-Optics and Department of Physics and Astronomy, Georgia State University, Atlanta, GA 30303. Questions regarding the position can be addressed to Dr. Stockman at --LOGIN--f3dff17c98ec2596fccb5434f65207bagsu[dot]edu . The position will remain open until filled. An offer of employment will be conditional on background verification. Georgia State University, a unit of the University System of Georgia, is an equal opportunity educational institution and an EEO/AA employer.

• Multiple Senior-Level Faculty Positions in Human Neuroimaging at Georgia State University (USA). Received: 23/04/2015.

Multiple Senior-Level Faculty Positions in Human Neuroimaging at Georgia State University in Atlanta

As part of its Second Century Initiative and pending budgetary approval, Georgia State University, Atlanta, GA anticipates hiring up to 2 tenure-track faculty members (applicants at Associate or Full Professor-levels only) with research programs in human behavior and expertise in neuroimaging, to begin Fall 2016. We seek established scientists who will join our growing cadre of researchers who are capitalizing on our state-of-the-art facilities at the GSU/GT Joint Center for Advanced Brain Imaging (CABI; http://www.cabiatl.com/CABI/), and help advance current GSU research initiatives that include Brains and Behavior ( http://brainsbehavior.gsu.edu/) and Language and Literacy (http://www.researchlanglit.gsu.edu) and may build upon our current strengths in atypical development and learning (http://www2.gsu.edu/~wwwaty), clinical neuropsychology, and/or cognitive science (http://www2.gsu.edu/~wwwpsy/graduate_programs.html). A number of GSU units will support these individuals to drive a broad vision for interdisciplinary research. Ongoing activities at the CABI include functional and structural neuroimaging within the areas of working memory, cognitive control, reading and language, and emotion processing as well as with a wide range of clinical populations across the lifespan, including survivors of cancer, congenital heart disease, as well as other neurological, genetic, and psychiatric conditions.

The candidate will be appointed in a relevant department (e.g., Psychology and/or Neuroscience, Physics) at Georgia State University. A Ph.D., M.D./Ph.D. or similar degree in psychology, neuroscience or a related research discipline is required. The successful candidate will have an outstanding record of research achievement, including a strong record of external research funding. The successful candidate will be expected to maintain a productive, funded research program in human neuroimaging, and will be expected to demonstrate graduate and undergraduate instructional effectiveness with a diverse student body. Interested individuals should send a curriculum vita, a cover letter stating research interests and experience, evidence of instructional effectiveness, and three letters of recommendation. Review of applications will continue until the positions are filled. Applications should be sent to the Human Neuroimaging Search Committee --LOGIN--2225ec53bd8ee30072b5986ac1109947gsu[dot]edu

An offer of employment will be conditional on background verification. Georgia State University, a Research University of the University System of Georgia, is an EEO/AA Employer and encourages applications from women and minority candidates.

• Contratos predoctorales en la Universidad Carlos III de Madrid (Spain). Received: 23/04/2015.

La UC3M oferta varios contratos predoctorales (por un periodo de 4 años). De los 7 contratos para el Departamento de informática, dos son en el grupo LaBDA (labda.inf.uc3m.es) para realizar la tesis doctoral en procesamiento del lenguaje natural y accesibilidad web.

El requisito es tener un título de máster (o estar cursándolo actualmente). Para la firma del contrato el candidato/a debe estar admitido a nuestro programa de doctorado. Aproximadamente el inicio del contrato sería septiembre/octubre 2015.

Información más específica de los perfiles:

http://www.madrimasd.org/empleo/inscripcionDemandaProfesional/mostrar_oferta.asp?codigo=17156

http://www.madrimasd.org/empleo/inscripcionDemandaProfesional/mostrar_oferta.asp?codigo=17148

Información de la convocatoria y condiciones:

http://portal.uc3m.es/portal/page/portal/inicio/universidad/empleo_universidad/personal_docente_e_investigador/pif

• Postdoctoral researcher in Systems Neuroscience at the University of California, San Diego (USA). Received: 22/04/2015.

The BioCircuits Institute (BCI) and Departments of Physics, Chemistry/Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities.

The ideal candidate will have experience with electrophysiology, with awake behaving animals, with neural modeling, and/or with biologically inspired integrated circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved.

We will accept applications immediately. To be considered, please submit your complete application by Friday, 31 July 2015. We will begin making selections from the completed applications on 3 August 2015. The Committee will continue to accept and review completed applications as they are received until the position is filled.

Appointments are for two years (in one-year increments) with the possibility of a third.

Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: --LOGIN--d4e6e5afc8dc0e41e26a1fe882040a1bgmail[dot]com .
A Ph.D. or equivalent doctoral degree is required prior to the appointment.

UCSD is an EO/AA employer.

• Phd Position: Learning of Cognitive Representations for Human-Robot Interaction at the University of Tübingen (Germany). Received: 21/04/2015.

PHD POSITION: LEARNING OF COGNITIVE REPRESENTATIONS FOR HUMAN-ROBOT INTERACTION

The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a Postdoc or a PhD student, preferably with a good mathematical background for a maximum duration of 4 years.

The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading also to biomedical applications.
The available project focuses on the development of machine learning algorithms for the representation and control of interactive full-body movements, in close interaction with experiments with human subjects.
This includes work with human motion capture data and marker-less tracking, techniques from computer animation, and related problems in control, exploiting appropriate techniques from machine learning.

Our group has long expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes.

Ideal candidates should have the following qualifications:
* Masters (PhD) degree in Computer Science, Electrical / Mechanical / Biomedical Engineering, Physics, or related fields with good mathematical training
* programming experience (Matlab, C/C++, ...)
* Knowledge about control theory or machine learning
* English speaking and writing skills.

Committed to Equal Opportunities.

Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience,
Otfried-Müller. 25, 72076 Tuebingen, Germany;
email: --LOGIN--64f47ea1ae212046197cdb62f7959379uni-tuebingen[dot]de

+ PhD Position: Rehabilitation Training Exploiting VR and Humanoid Robot Technology at the University of Tübingen (Germany). Received: 21/04/2015.

The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a Postdoc or a PhD student for a maximum duration of 4 years.

The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading to biomedical applications. The available project focuses on the development of interactive training paradigms with normal participants and selected patient groups that exploit Virtual Reality setups and later also humanoid robots. The work will include experiments with human participants as well as the development of appropriate paradigms and interactive setups. The efficiency of sensorimotor learning and its optimization by appropriate training protocols will be studied in the context of such applications.

Our group has long-standing expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes.

Ideal candidates should have the following qualifications:
* Masters (or PhD) degree in Biomedical Engineering, Computer Science, Engineering, and related fields, or in Psychology, or Biology
* programming experience (Matlab, Python, ...)
* Interest in experiments with human subjects and patients
* English speaking and writing skills.

Committed to Equal Opportunities.

Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience,
Otfried-Müller. 25, 72076 Tuebingen, Germany;
email: --LOGIN--64f47ea1ae212046197cdb62f7959379uni-tuebingen[dot]de

• Postdoc positions at IBM Thomas J. Watson Research Center, Yorktown Heights, New York (USA). Received: 01/04/2015.

Computational Biology Department at IBM T.J. Watson is looking for several postdoctoral researchers; see the job descriptions below.

Job description 1:
https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736440

IBM Research is undertaking a project to develop predictive models of neurological and psychiatric disease transitions based on patients’ speech samples and physiological recordings from wearable devices such as accelerometers, heart rate monitors and portable ElectroEncephaloGram (EEG) recorders. The goal of the project is to implement a high sampling frequency system monitoring easily available behavioral and physiological data, and relate these to established psychometric measures of disease, in order to provide neurologist and psychiatrists with high granularity information of the patients’ state, and actionable predictions of imminent transitions. The project will involve a tight collaboration with clinicians.

Required

Doctorate Degree
At least 1 year experience in natural language processing or signal processing
At least 1 year experience in Programming (Matlab, Python, C++)
English: Intermediate

Preferred

At least 3 years experience in natural language processing or signal processing
At least 2 years experience in Programming (Matlab, Python, C++)
At least 2 years experience in psychology and psychiatry
At least 2 years experience in cognitive science, big data analytics or wearable computing
At least 2 years experience in machine learning
English : Fluent

Job description 2:
https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736434

IBM Research is undertaking a project to characterize the progression of neurological diseases using multi-modal imaging techniques, combining state-of-the-art statistical learning and high-performance computing tools with physiological models and mechanistic interpretations. The ultimate goal of this project is to develop an integrative, multi-disciplinary approach to understand underpinning biological mechanisms of disease (e.g. Parkinson’s), as well as provide analytic tools with immediate clinical applicability. The project will involve a tight collaboration with neurobiology researchers and clinicians.

IBM is seeking a Postdoctoral Researcher with a degree in neuroimaging, neuroscience, computer science, mathematics, physics, electrical engineering or similar fields. Candidates should have experience in high-throughput brain data modeling, machine learning for big data, computational neuroscience and neurobiology. Candidates with a background in relevant applied mathematics fields such as topological data analysis and optimization will also be considered.

Required

Doctorate Degree
At least 1 year experience in brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography)
Basic knowledge in programming (Matlab, Python, C++)
English: Intermediate

Preferred

At least 3 years experience in brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography)
At least 2 years experience in programming (Matlab, Python, C++)
At least 3 years experience in machine learning
At least 3 years experience in brain imaging
At least 3 years experience in biological psychiatry
English : Fluent

• Assistant Professor Position in Big Data and eScience at KTH Royal Institute of Technology, Stockholm (Sweden). Received: 01/04/2015, Deadline: 29/05/2015.

Assistant Professor in Big Data and eScience

KTH - Royal Institute of Technology invites applications for a tenure-track faculty appointment in Big Data and eScience at the rank of Assistant Professor. We seek individuals with outstanding potential for research achievement, and a strong interest and commitment to undergraduate and graduate teaching. The position is intended to add to or extend the current research areas at KTH with more emphasis being put on excellence than on specific area of expertise. The position comes with a significant start package that will allow the successful candidate to quickly establish their own research group.

KTH carries out a wide range of internationally renowned research related to Big Data and eScience.

Research groups working in high-performance computing, simulations, visualization, computer vision, robotics, computational biology, neuroinformatics, language technology, algorithms and software security comprise part of the School of Computer Science and Communication. The KTH super computer center - PDC Center for High Performance Computing - with the largest computing infrastructure in Scandinavia is also part of the school.
For more information about the school, see www.kth.se/csc

Research groups in computational fluid dynamics, biomolecular simulations, numerical analysis, and mathematical statistics comprise part of the School of Engineering Sciences.
For more information about the school, see www.kth.se/sci

For further information and details on application procedure see www.kth.se/applytoassistantprofessor

Application deadline is May 29, 2015.

Applicants having earned their PhD no later than May 2008 will be given priority.
The term of appointment is expected to begin around November 2015, or later depending on availability.

Questions regarding computational biology/neuroscience, neurocomputing, and neuroinformatics can be directed to Anders Lansner, --LOGIN--73c7fbe49517a26621dfff5566219db0kth[dot]se

• PhD studentship in Robot Touch at the University of Bristol (UK). Received: 30/03/2015, Deadline: 09/04/2015.

We are looking for an outstanding science or engineering graduate interested in working on the interface of robotics and neuroscience, specifically on applying biologically inspired theories of active perception to tactile robotics.

Candidate requirements: Only UK applicants will qualify for funding (see below) but applications from overseas candidates with their own source of funding are welcomed. Suitable applicants will be expected to have a first or upper second-class honours degree in a relevant discipline.

The student will be enrolled within the Faculty of Engineering at the University of Bristol and will also be a member and have full access to facilities at the Bristol Robotics Laboratory, the UK's most comprehensive robotics innovation facility and a world-leading centre of robotics research.

Funding: Studentship covers full UK/EU (EU applicants who have resided in the UK for 3 years prior to application) PhD tuition fees and a tax-free stipend at the current RCUK rate (£14,057 for 2015/16). EU nationals resident in the EU may also apply but will qualify only for PhD tuition fees.

Application procedure: Applicants should send a CV and contact information for 2 referees to Dr Nathan Lepora (--LOGIN--3393fe3298849c140b42b275780e31eabristol[dot]ac[dot]uk ). The deadline for Applications is Thursday 9th April, although informal enquiries should be made beforehand.

• Graduate Researcher or Postdoc in Computational Neuroscience at the Jülich Supercomputing Centre (Germany). Received: 27/03/2015.

We have a position available in the SImLab Neuroscience, Juelich Research Centre, Germany, at the graduate or postdoc level.

We are looking for candidates with a proven track record in developing scientific software, especially with an HPC focus, and an interest in Neuroscience.

For a full description and details of how to apply, please see the announcement on our website:

http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-062-EN-JSC.html

• PhD position in Visual Neuroscience at the University of Oldenburg (Germany). Received: 26/03/2015, Deadline: 20/04/2015.

The Visual Neuroscience group at the University of Oldenburg, Germany is offering a

PhD position (TV-L E13 50%) in
population coding of retinal ganglion cells

starting in May 2015. The position is initially funded until March 31 2018.

The goal of our research is to understand how visual signals are transmitted from the retina to the brain. We study how populations of neurons encode information using large-scale multi-electrode arrays, which are able to record the responses of around a thousand neurons of various cell-types simultaneously for several hours.

The visual stimulus is transduced into electrical signals by the photoreceptors of the retina, processed by many types of interneurons, and conveyed to the brain by the ganglion cells along their axons that form the optic nerve. All visual information is encoded in temporal patterns of electrical impulses of the ganglion cells. We know from morphological studies that over 20 types of ganglion cells exist. Each type carries a specialized and distinct representation of the visual environment to different targets in the brain. We do not know the response properties of many types, especially in natural viewing conditions, nor do we fully understand how the diverse information sent by the different cell types collectively determines visual perception and behavior. For more information please visit www.uni-oldenburg.de/en/retina.

We seek a highly motivated PhD student with an academic university degree (Master or Diploma) in Biology, Physics, Informatics or related fields. Applicants should have strong computing skills, experience or training in neuroscience and interest in vision research. Electrophysiological experience is an advantage.

The Carl von Ossietzky University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification.

Please submit your application (in English or German) including a motivation letter with a description of your scientific interest, a CV, degree certificates, and contact information of two references to Prof. Dr. Martin Greschner (--LOGIN--32e02034c768f52572abec4b570cf26funi-oldenburg[dot]de ) preferably by email, as a single pdf-file or by mail to the Universität Oldenburg, Fakultät VI, Visual Neuroscience, 26111 Oldenburg. Applications will be considered until April 20th.

• Software Developer for the Accelerator Control System Configuration Service at CERN (Switzerland). Received: 26/03/2015, Closing date: 12/04/2015.

Description
The candidate will join the team responsible for the service used to configure CERN's data driven Accelerator Control System.
In particular, the candidate will take a major role in the re-design and development of the various software packages used to persist data from the Front-End Software Architecture (FESA) framework in a central Oracle database. The FESA framework is a complete environment for equipment specialists to design, develop, test and deploy the front-end computer software used for real-time control of CERN's accelerators. Once stored in the central Oracle database, the design and deployment data is made available to other high-level systems used for accelerator exploitation and data acquisition.
The main activities for this position include: Analysis, design and implementation of a Java persistence layer (replacing the current XML/XSLT mechanism) to interact with the Controls Configuration database. Design and implementation of a persistence API and integration with the FESA tools (Eclipse plugin).Design and implementation of high-level GUI tools based on selected web technology.

Skills
Eclipse, Spring, XML

Training Value
This is a fantastic opportunity to join a dynamic team of talented software engineers, working at the heart of CERN. The team follows agile practices, actively practices knowledge sharing and professional development, whilst striving to deliver quality solutions to benefit the large user community. The candidate will also work closely with the team responsible for the FESA framework, and their client community (FESA developers).

More information and application process here.

• Postdoctoral Fellowships in Theoretical Neuroscience at the Higher School of Economics, Moscow (Russia). Received: 18/03/2015, Deadline: 01/04/2015.

Theoretical Neuroscience Group
Postdoctoral research positions. Deadline: April 1, 2015

Theoretical Neuroscience - computational and mathematical approaches to understanding neural function and cognition. Research interests of the Theoretical Neuroscience Group at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the research center and the faculty of applied mathematics.

Research themes include models of social decision-making, computational neuroeconomics, information processing in neurons and circuits as well as computational approaches to drug addiction and role of oscillations in cognition. The group is linked with the Group for Neural Theory at the Ecole Normale Superior in Paris, where research internships and visiting positions can be made available.

We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Programming skills and ability to carry put interdisciplinary projects are required. Ability to work with data is recommended.

Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will be expected to develop independent research projects and collaborations under the direction of the group leading scientists. Publications in international peers reviewed venues are expected as tangible out outcomes of the research. Group leader - Boris Gutkin.

General conditions for Post-Doctoral Research positions can be found here. Appointments will be normally made for one year.

Please apply via online application form and attach you CV and research statement. Two letters of recommendations should be sent directly to --LOGIN--fdfd7474f81a69fa21bc17432957b1b9hse[dot]ru by April 1, 2015.

The HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities.

• Senior lectureship in computer science (machine learning / biocomputation) at the University of Hertfordshire, Hatfield (UK). Received: 13/03/2015, Closing date: 26/03/2015.

Senior Lecturer in Computer Science
School of Computer Science
University of Hertfordshire
Hatfield, Hertfordshire
UK

Salary: £37,394 to £47,328 per annum depending on skills and experience
FTE: Full time position
Duration of contract: Permanent

Closing date: 26 March 2015

Applications are invited for two posts of Senior Lecturer in the School of Computer Science at the University of Hertfordshire. The successful candidate will be expected to contribute to the School's teaching and curriculum development activities, and to strengthen its research activities. We are looking to recruit specifically computer scientists with specialist interests in machine learning related to biocomputation (including computational neuroscience), with the flexibility to teach across mainstream topics in computer science. The School has an international reputation for teaching and research, with 58 academic staff, 20 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the School teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London.

The person appointed will be expected to contribute to learning and teaching relevant to core computer science topics, participate in curriculum review and development, design and develop new modules, and supervise student projects at all levels. The appointee will strengthen the research culture in the School by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Preference will be given to candidates who can contribute to teaching and research in databases or machine learning.

You must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English and the ability to teach at undergraduate and postgraduate level. It is desirable that candidates have a track record of publication, external research funding, collaboration across disciplines, experience of different types of assessment and higher education quality assurance. They should also have the ability to play a role in the routine running of the School of Computer Science.

The University is required to meet UKVI visa regulations. Applicants who do not currently have the right to work in the UK will have to satisfy UKVI regulations before they can be appointed.

Application should be made through http://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies (reference 012476). For informal enquiries contact Prof William Clocksin (Dean of School, --LOGIN--5ec5f6d853e71161bc6d66f789c0f336herts[dot]ac[dot]uk ) or Dr Volker Steuber (Head of the Biocomputation Research Group, --LOGIN--cb6ec4c434ea8c1993a147b8948a0d83herts[dot]ac[dot]uk ).

• Postdoctoral Position in Networks & Machine Learning at Max Planck Institute for Software Systems, Kaiserslautern - Saarbruecken (Germany). Received: 10/03/2015.

The newly established Machine Learning group at the Max Planck Institute for Software Systems (MPI-SWS, http://www.mpi-sws.org/), led by Manuel Gomez-Rodriguez, is looking for a postdoctoral researcher with a strong interest in networks & machine learning.

In our group, we are interested in developing machine learning and large-scale data mining methods for the analysis and modeling of large real-world networks and processes that take place over them. We are particularly interested in problems arising in the Web and social media. For further information on our research, please, visit http://www.mpi-sws.org/~manuelgr/.

Applicants should have a strong machine learning and/or data mining background with a track record of research publications in top tier conferences (e.g., ICML, NIPS, KDD, WSDM, WWW) and/or journals (e.g., JMLR, TKDD, TOIS, Network Science). A Ph.D. in a relevant field (e.g., Computer Science, Information Science, Engineering, Statistics & Optimization) is a must. Research experience in social networks or social media data is a big plus.

MPI-SWS currently has 9 tenured and tenure-track faculty and about 50 doctoral and post-doctoral researchers and is located in Kaiserslautern and Saarbruecken, in the tri-border area of Germany, France and Luxembourg. The institute maintains an open, international and diverse work environment and we seek applications from outstanding candidates regardless of national origin or citizenship. Working language at MPI-SWS is English -- German is not required. The salary is highly competitive and you will have great support to do outstanding research.

The position is for one year in the first instance, with expectation of renewal subject to good performance.

In order to apply, please, use the online application system at http://www.mpi-sws.org/index.php?n=careers/postdoctoral and drop me an email to --LOGIN--5c29b4f0c72f5f97ddc49db26b2049a3mpi-sws[dot]org to highlight your application. Review of applications will start immediately, and continue until the position is filled.

• Post-doctoral Position in Computer Vision at EPFL, Lausanne (Switzerland). Received: 06/03/2015.

EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening for a post-doctoral fellow in the field of Computer Vision and Augmented Reality. The position is initially offered for 1 year and can be extended for up to 4 years total.

Description:

The work will involve 3D tracking of a small robot on a tablet for Augmented Reality purposes and with a view to developing educational tools.

Position:

The Computer Vision Laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching. There will be ample opportunities to cooperate with some of the best groups in Europe and elsewhere.

EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers away from the city of Geneva. Salaries are in the order CHF 80,000 per year, the precise amount to be determined by EPFL's department of human resources.

Education:

Applicants are expected to have finished, or be about to finish their Ph.D. degrees, to have a strong background in Computer Vision and 3D Tracking, and to have a track record of publications in top conferences and journals. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.

Application:

Applications must be sent by email to Ms. Gisclon (--LOGIN--f8c8dcace70a6ab3e9718ec2d59f416aepfl[dot]ch ). They must contain a statement of interest, a CV, a list of publications, and the names of three references.

• Full Professor Position at ENSEA, Cergy Pontoise (France). Received: 04/03/2015.

We are looking for an excellent candidate in digital implementations of embedded systems, including one of the following topics:

- System on chip designs using FPGA,

- Robotic embedded systems and associated designs,

- Software-Radio, Cognitive radio,

- Embedded Systems for Health applications.

The hired professor will actively participate in the ETIS laboratory achievements, both national and international, especially in the field of embedded systems for Communication and for Health systems. Local or Regional implication will be needed for this position.

Expected Teaching Skills

The candidate will need to show teaching skills in Digital Electrical Engineering in general, and more precisely in embedded real-time digital processing, and discrete linear system theory

Contacts: David Declercq (--LOGIN--62127e0d71377912efba759d3557be3aensea[dot]fr ) - Olivier Romain (--LOGIN--f8322056c1f1ec82d5394552369a48deensea[dot]fr )

• Ph.D. Studentship in Data Analytics in Mental Health at the University of Ulster (UK). Received: 04/03/2015, Closing date: 30/04/2015.

Applications are invited for the following DEL CAST studentship (Co-operative Awards in Science and Technology):

Title: Extraction and modelling of mental health data: big data analytics approach

With the increasing volume of datasets in neuroscience and mental health, data analytics and modelling will become indispensable. This project aims to use data analytics, probabilistic modelling, and high-performance computing to integrate and analyse available open but heterogeneous big data to extract patterns and predict Alzheimer’s disease.

This timely, exciting and high-impact project is available in the University of Ulster’ Computer Science Research Institute (in collaboration with Asystec Ltd) and is tenable in the Faculty of Computing and Engineering at the Magee Campus. The successful PhD candidate will join an externally funded multidisciplinary research team, and will benefit from the expertise of Ulster’s computational neuroscience and intelligence, and Asystec’s big data management and analytics. The student will also have the opportunity to interact with other biomedical and translational/clinical researchers in the team. The student will gain valuable knowledge in data analytics, high-performance computing, mathematics/statistics and brain sciences, which are all essential in many areas of science, engineering and biology. This training will provide wide opportunities for finding skilled work, especially in the burgeoning field of data analytics. The student will have the opportunity to learn first-hand about advanced software development, knowledge transfer and entrepreneurship with Asystec.

Applicants should hold ordinary UK residence to be eligible for both fees and maintenance. Non UK residents who hold ordinary EU residence may also apply but if successful will receive fees only. All applicants should hold a first or upper second class honours (or equivalent) degree in Computer Science, Mathematics, Statistics, Engineering or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. Successful candidates will enrol on a full-time research programme, of up to three years subject to satisfactory progress, leading to the award of the degree of Doctor of Philosophy. The studentship will comprise tuition fees and a maintenance award (subject to UK residence status) of not less than £15,057 per annum, funded by DEL (the Department for Employment & Learning in NI) and Asystec Ltd.

The application process for the Ph.D. studentship is opened with a closing date for applications on the 30th April 2015, and interviews will be held in May 2015. The studentship is expected to start in September 2015.

Further details can be found at:

http://research.ulster.ac.uk/info/researchopp/DELCASTAsystec.html

If you wish to discuss your proposal or receive advice on the research project please contact: Dr KongFatt Wong-Lin, tel: +44 028 7167 5320, email: --LOGIN--18de3223b7fcd65e5d932aabb878e485ulster[dot]ac[dot]uk

Apply online www.ulster.ac.uk/applyonline

• Postdoctoral position in Computational Neuroscience/Biophysical Modeling at Rice University and Baylor College of Medicine, Houston, Texas (USA). Received: 03/03/2015, Closing date: 15/05/2015.

A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine).

Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral fellow will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry.

We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until May 15, 2015.

Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit

http://www.explore.rice.edu/explore/General_Information.asp
or
https://www.bcm.edu/about-us/life-in-houston

For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to --LOGIN--e8a064ea0fe266d5f80a6ca623727c37rice[dot]edu and --LOGIN--ecf87435d1d571f6a0467073fbff6023bcm[dot]edu .

• Senior FPGA Design Engineer Opportunity at Intel, Hillsboro, Oregon (USA). Received: 26/02/2015.

Intel Corporation is looking to hire experienced Senior RTL Design Engineers. Successful candidates will work on developing Intel's new Xeon-FPGA initiative.

Basic qualifications we are looking for:

- MS degree or higher in Electrical and Computer Engineering with 8-10 years of relevant experience

- Expertise with {System}Verilog, RTL design, FPGA PAR

- Experience with high-speed highly-parallel design

A full job posting is here, the requisition number is 754153

http://searchjobs.intel.com/hillsboro-or/rtl-design-engineer/428706CFAD294F839AEB0346C7D2757E/job/

Interested applicants, please apply at the link provided.

• Postdoctoral positions in computational neuroscience at Ecole Normale Supérieure, Paris (France). Received: 26/02/2015, Closing date: 31/03/2015.

Two postdoctoral positions are available in the group of Sophie Deneve, Ecole Normale supérieure Paris. Positions are for one year, renewable one year, and comes with competitive salary and generous equipment and travel funds. The team is part of the “Group for neural theory” (http://iec-lnc.ens.fr/group-for-neural-theory/) and surrounded by top-level theoretical and experimental labs.

Candidates are expected to have a solid training in the field of computational neuroscience, proven quantitative and programming skills and a strong interest in integrative/cognitive neuroscience. Starting dates are flexible, but should preferentially occur before September 2015.

Possible projects include:

Starting from the hypothesis that biological networks are optimally tuned to maximize coding efficiency and robustness, we will design new tools to analyze their dynamics and function. We will identify functionally relevant, low-dimensional structures in large neural datasets (spontaneous and stimulus-driven multi-unit activity in retina, visual cortex, and/or in Zebrafish whole brain recordings).

Sensory neurons are often described in terms by their receptive fields. On the other hand, “generative models” (and more generally, efficient coding) assume that neurons collectively try to predict their stimuli. In such scenarios, prior assumptions, metabolic constrains and context deeply reshape neural selectivity. We will consider implications for learning, attentional modulation and/or hierarchical neural processing.

Candidates should send their application to --LOGIN--684d33f5ac506981c209f367bb60213eens[dot]fr by March 31, 2015. Please mention “postdoctoral candidate” in the subject of the email.
Application should take the form of a single PDF file, containing a CV, motivation letter, names and email addresses of 2 to 3 referees. No official letter of recommendations are required, as the referee will be contacted directly.

• Lab manager position at the University of Cambridge (UK). Received: 25/02/2015.

A lab manager position is available to work at the Adaptive Brain Lab (http://www.abg.psychol.cam.ac.uk) at the Department of Psychology, University of Cambridge, UK. The lab focuses on understanding the neural basis of human perception and adaptive behaviours using a combination of behavioral, computational and brain imaging techniques (fMRI, TMS, EEG). The team consists of an international and interdisciplinary mix of students and post-docs who use specialist equipment (display devices, eye trackers, brain imaging equipment).

The successful candidate will provide hardware (i.e. configuring computer equipment and experimental hardware) and software support (i.e. developing software for stimulus generation and data analysis) as well as some administrative support (e.g. ordering equipment, organizing databases and data storage, writing reports). The lab manager will be involved in all aspects of the lab life (i.e. conducting research projects in collaboration with lab members, organizing conferences and workshops, attending seminars and lab meetings).

A bachelor's (or higher) degree in computer science, engineering, math, physics, neuroscience, psychology, or other related field is required. Strong computer programming skills (especially MATLAB, C++, OpenGL) and organizational skills are required. Research experience in cognitive and/or computational neuroscience would be preferable, but not required.

For informal inquiries, please send CV and a brief statement of background skills and interests to --LOGIN--de31d16593f77b33849b18a02994d36fcam[dot]ac[dot]uk

• Research Associate in Bioinformatics and Machine Learning at the University of Bristol (UK). Received: 23/02/2015, Deadline: 03/04/2015.

The University of Bristol offers a position of post-doctoral Research Associate in a project focused on the development and use of methods from machine learning and bioinformatics, to devise improved predictors for estimating the functional impact of genetic variation in human disease.

Rapid developments in next-generation sequencing technologies have led to a substantial increase in identified genetic variants, which may be implicated in human disease. The core application focus of the project is to construct and use algorithmically-based methods for predicting the functional consequences of genetic variation. A recent publication, H.A. Shihab et al. Bioinformatics doi:10.1093/bioinformatics/btv009 (2015) gives an impression of the project. This paper is a successor to earlier published projects centred on FATHMM, a widely used tool, embedded in various external packages and which is used to predict pathogenic sequence variants. We expect to extend this study in many directions including devising disease-specific predictors and devising predictors for other types of genetic variation.

In addition to this application core, the Research Associate should be interested in the development of improved machine-learning based methodology for handling problems specific to the application domain. This includes new methods for handling label noise, improved methods for data integration, handling missing values and a range of other issues.

The Research Associate should therefore have a strong background in machine learning, statistics or bioinformatics. He or she should be capable of developing novel methodology in addition to having a keen interdisciplinary interest in the given medical application domain.

The appointee will work with Dr. Colin Campbell, Director of the Intelligent Systems Laboratory, University of Bristol and Dr. Tom Gaunt who heads bioinformatics in the MRC Integrative Epidemiology Unit (IEU) of the University of Bristol, in addition to other researchers.

The Research Assistant will be hosted within the Intelligent Systems Laboratory (http://intelligentsystems.bristol.ac.uk/) of the University of Bristol. The ISL has 17 staff members and about 50 postdoctoral researchers and research students and pursues a broad programme of research across machine learning, bioinformatics and related disciplines. The Research Associate will also collaborate closely with researchers in the MRC Integrative Epidemiology Unit which houses more than 70 researchers from a wide range of disciplines. The broad programme of research in the IEU spans genetics, epigenetics, epidemiology, bioinformatics and biostatistics in the context of human health.

The position requires a PhD degree and excellent skills in programming (e.g. Python, C++, R, MATLAB) and mathematics.

This post is offered on a full time, fixed term for 36 months with a desired start date of 1st June 2015, by arrangement. The deadline for applications is 5pm (UK time), on Friday 3rd April 2015.

Informal enquiries can be made to Dr. Colin Campbell --LOGIN--e96f025f3778a333ec979939c02de601bristol[dot]ac[dot]uk or Dr. Tom Gaunt --LOGIN--cc981b707ffa6a628b02564eb2cef5d1bristol[dot]ac[dot]uk

Further details are available at: www.bristol.ac.uk/jobs with job reference code ACAD101293.

Appointment may be either on a fixed term or a permanent contract depending on the extent of previous relevant research experience, in line with the University's Fixed Term Contract Agreement. Further information can be found at www.bristol.ac.uk/hr/ftc/

• Fully funded PhD studentships in Risk and Uncertainty in Complex Systems and Environments at the University of Liverpool (UK). Received: 22/02/2015, Deadline: 30/04/2015.

We have 11 fully funded PhD studentships available as part of our EPSRC and ESRC Centre for Doctoral Training (CDT) on Quantification and Management of Risk & Uncertainty in Complex Systems & Environments. The recruitment will be done on a competitive basis across all applicants for all projects advertised at http://www.liv.ac.uk/risk-and-uncertainty/postgraduate/cdt-research-projects-available/

These projects are all within the Institute for Risk and Uncertainty at the University of Liverpool. The studentships are granted for 4 years and include, in the first year, a Master in Decision Making under Risk & Uncertainty. The projects include extensive collaboration with prime industry to build an optimal basis for employability. For further information, see
http://www.liv.ac.uk/risk-and-uncertainty-cdt/ and
https://www.liv.ac.uk/risk-and-uncertainty/postgraduate/cdt_risk/

Please note that the studentships are restricted to UK and EU students. Application deadline is 30 April 2015. The studentships start on 21 September 2015.

• Fully funded Ph.D. position in Semi-Supervised Learning at Delft University of Technology (The Netherlands). Received: 22/02/2015, Closing date: 20/03/2015.

New Perspectives on Semi-Supervised Learning
Fully funded Ph.D. position Delft University of Technology

Learning methods are at the heart of almost any modern computer application. Supervised learning algorithms [e.g. classifiers and decision rules] are able to generalize from examples and predict the desired output to unseen input. A major obstacle in their successful use is the need for sufficient expert-labeled examples to learn from. Semi-supervised learning [SSL] promises to improve radically upon this situation by exploiting both labeled and unlabeled data. To this date, however, SSL has not lived up to this promise, often even deteriorating instead of improving performance. Current methods can be difficult to handle, especially by the non-expert, and they are not as widely used as their supervised counterparts. We therefore need SSL methods that are reliable and can be readily substituted for the supervised classifiers that are en vogue in the different research domains and application areas.

The prospective PhD student will work on the necessary concepts and methodologies to design semi-supervised learners that can guarantee performance improvements. Of prime importance in this is developing insight into the mechanism underlying SSL. More than being interested in the best performing learner, we aim to understand the learning problem as such. To start with, the research would focus on the use of projection estimators -- considering the link between divergence measures and loss functions -- and their use in SSL.

The project allows for a highly personal interpretation of any subsequent investigations.

For more information, please visit
http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=544901&type=a

• Tenure-track assistant professor position in neuroscience at Georgia State University (USA). Received: 21/02/2015.

The Neuroscience Institute at Georgia State University (GSU) invites applications for a tenure track position at the rank of Assistant Professor pending budgetary approval. The ideal candidate will establish a research program that synergizes with existing key strengths in the Neuroscience Institute in behavioral neuroscience, computational neuroscience, neuroendocrinology, and neuroplasticity. Preference will be given to researchers with expertise and a publication record using state-of-the art methodologies.

Candidates must hold a Ph.D. or M.D. in a discipline related to neuroscience and should demonstrate the ability to establish a vigorous, externally funded research program and to mentor Ph.D. graduate students. Excellence in teaching at undergraduate and graduate levels is also expected. Candidates should have an outstanding record of accomplishment and a strong desire for research collaboration. The successful candidate would become a core member of the Neuroscience Institute, which is a thriving department housed in the Petit Science Center that provides world-class facilities and an interdisciplinary and collaborative research environment (see http://neuroscience.gsu.edu).

A highly competitive salary, start-up funds and laboratory space will be provided. Applications should include a full curriculum vita, names and contact information for three references, and statements of research interests and teaching philosophy. Applications can be submitted either electronically in PDF format to --LOGIN--d78de5a1585fa20643f021b9bf02a735gsu[dot]edu or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Application processing will begin immediately and the search will remain open until the positions are filled.

Georgia State University, a Research University of the University System of Georgia, is an EEO/AA employer and encourages applications from women and underrepresented minority groups. Offers of employment will be conditional upon background verification.

• Ikerbasque Research Fellow (“Tenure”) in Computational Neuroimaging at Biocruces, Bilbao (Spain). Received: 11/02/2015, Closing date: 01/04/2015.

One position for “Ikerbasque Research Fellow” will be host by the new emerging group of Computational Neuroimaging in Biocruces.
http://www.biocruces.com/web/biocruces/bc5.08

More information about the position, “Ikerbasque Research Fellow” at
http://www.ikerbasque.net/fellows

More information about Biocruces
http://www.biocruces.com/

Interested researchers must contact me before April 1, 2015.
Feel free in contacting me for any further question or comment.
Provide a copy of an updated CV remarking best 5 publications.

Prof. Jesus M Cortes
--LOGIN--6ae5bf0693740898649f57e32c66bb61gmail[dot]com
Ikerbasque Research Professor
Head of the Computational Neuroimaging Lab
Biocruces Health Research Institute

• Research Experience for Undergraduate (REU) in cognitive modeling at Vanderbilt University (USA). Received: 09/02/2015.

RESEARCH EXPERIENCE FOR UNDERGRADUATES (REU) AT THE CatLab AT VANDERBILT

We looking for outstanding students interested in a Research Experience for Undergraduates (REU) at the CatLab at Vanderbilt University.
Our REU is part of an NSF-funded project entitled Perceptual Categorization in Real-World Expertise. This project uses online behavioral experiments to understand the temporal dynamics of perceptual expertise, measuring and manipulating the dynamics of object recognition and categorization at different levels of abstraction and assessing how those dynamics vary over measured levels of expertise, using computational models to test hypotheses about expertise mechanisms. Students have opportunities to work on projects ranging from the development of online experiments, development of analysis routines, and development and testing of computational models. This REU is especially appropriate for students interested in applying to graduate programs in psychology, vision science, cognitive science, or neuroscience.
The REU provides a $5000 summer stipend, $500 per week for ten weeks; an additional $150 per week helps offsets the cost of housing and meals; a $250 travel allowance is also provided.
REUs are restricted to undergraduate students currently enrolled in a degree program and must be U.S. citizens, U.S. nationals, or permanent residents of the United States. Undergraduates who are students at Vanderbilt may have the opportunity to continue the REU experience into the 2015-16 academic year.

For more information:
http://catlab.psy.vanderbilt.edu/research-experience-for-undergraduates-reu-at-the-catlab

• PhD position in computational models of language and vision at the University of Trento (Italy). Received: 09/02/2015.

One PhD position/studentship to study computational models of language and vision is available in the Language, Interaction and Computation track of the 3-year PhD program offered by the Center for Mind/Brain Sciences at the University of Trento (Italy) (www.unitn.it/en/cimec).

The PhD program (start date: November 2015) is taught in English by an international faculty. The Language, Interaction & Computation track is organized by the CIMeC-CLIC laboratory, an interdisciplinary group of researchers studying language and conceptualization using both computational and cognitive methods (clic.cimec.unitn.it).

The topic of the PhD thesis will be defined with the student selected as PhD candidate. Possible research directions include: Compositionality in images; Methaphors in images; Searching for images through natural language queries; Language, vision and reasoning. The selected student will work closely with the research team of the ERC project COMPOSES (http://clic.cimec.unitn.it/composes/).

* Desired Profile *

Given the interdisciplinary nature of the project, we seek a brilliant student with at least some of the following background:

- Machine learning
- Computer Vision
- Natural Language Processing
- Good programming skills
- Ability to work with big data
- Mathematical and statistical skills

If you think that your background is relevant to the research program outlined on the project website (http://clic.cimec.unitn.it/lavi) and you have good programming and quantitative skills, please do get in touch even if you do not fully fit the profile above.

All prospective students are expected to have an interest in working in an interdisciplinary environment.

* The Research Environment *

The CLIC lab (http://clic.cimec.unitn.it) is a unit of the University of Trento's Center for Mind/Brain Sciences (CIMeC, www.unitn.it/en/cimec), an English-speaking, interdisciplinary center for research on brain and cognition whose staff includes neuroscientists, psychologists, (computational) linguists, computer scientists and physicists.

CLIC consists of researchers from the Departments of Computer Science (DISI) and Psychology and Cognitive Science (DiPSCo) carrying out research on a range of topics including concept acquisition, corpus-based computational semantics, combining NLP and computer vision, combining brain and corpus data to study cognition, formal semantics and theoretical linguistics.

CLIC is part of the larger network of research labs focusing on Natural Language Processing and related domains in the Trento region, that is quickly becoming one of the areas with the highest concentration of researchers in NLP and related fields anywhere in Europe.

The CLIC/CIMeC laboratories are located in beautiful Rovereto, a lively town in the middle of the Alps, famous for its contemporary art museum, the quality of its wine, and the range of outdoors sport and relax opportunities it offers:

http://en.wikipedia.org/wiki/Rovereto

* Application Information *

The official call of the Doctoral School in Cognitive and Brain Sciences will be announced shortly, and application details will be available on the page:

http://www.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-and-brain-sciences

We strongly encourage a preliminary expression of interest in the project. Please contact Raffaella Bernardi (--LOGIN--76b5a2bc3ae3cec79c050f7c28bc915fdisi[dot]unitn[dot]it ), attaching a CV in pdf or txt format, or a link to an online CV. For information about the application process, please contact the school administrator (--LOGIN--bdbfafa6754e09957387d9e97bea898aunitn[dot]it ).

• Full Professor Position in Computer Science at Université de Bretagne Occidentale (UBO), Brest (France). Received: 18/01/2015.

Teaching Mission
Student Levels: Master 1st and 2nd year in computer science

Objectives: The candidate will give courses within the department of computer science at UBO in the following areas: security, system management, network and software engineering. Special needs are identified in the following domains: embedded systems, databases, data-processing (Big Data, data mining, SIG). Any experience, such as teaching in English, MOOC design or remote teaching, will be appreciated. The candidate will actively contribute to the animation and management of the computer science department.

Research Mission
The professor will integrate the MOCS (methods & tools for circuits and systems) team (34 staff) of the CACS department of Lab-STICC (UMR 6285). Lab-STICC is a large CNRS laboratory supported by 3 Engineering schools (Télécom Bretagne, ENIB, ENSTA Bretagne) and 2 Universities (UBO, UBS) composed of 500 people including 250 PhDs.
The candidate will contribute to reinforce the axis Embedded Intelligence of the team; the objective is the design of hardware / software heterogeneous systems with adaptation capacities in uncertain environments (e.g. data dependent processing, reaction to unexpected events). Embedded systems for UAV and ROV, for instance, are key application domains. On the hardware side it can be the design of reconfigurable systems on chip (dedicated coprocessor, memory organization, network on chip) based on modeling, synthesis and code generation for backend tools. On the software side it can address safe code generation (modeling, design, verification and certification in the case of critical real systems). The research objective of the Embedded Intelligence axis relies on two fundamental pillars. The first one is the perception of the environment that requires efficient modeling and implementation methods to be applied to processing algorithms and sensor data fusion. The second is autonomy, where solutions must be developed for the efficient implementation of perception / action loops, decision algorithms and safe control of hardware/software reconfigurations.
This research topic can be part of 3 multidisciplinary and strategic cross projects at Lab-STICC: multi-mode Unmanned Vehicles, Sea-ICT and Cybersecurity.
The Professor is expected to have a scientific vision with the aim to develop an ambitious and long-term project based on national and international collaborations. The Professor will be in charge of getting funding and will favor cooperation within the team.

Contacts
Reinardt Euler, Pr. UBO, --LOGIN--cc7c2e6435201eb4446c53863d05d5b1univ-brest[dot]fr
Jean-Philippe Diguet, DR CNRS, --LOGIN--6ded3105b6860e7d0ceac4c374209212univ-ubs[dot]fr

• Ph.D. Studentships in Computational Neuroscience at the University of Ulster, Derry/Londonderry (UK). Received: 18/01/2015, Closing date: 27/02/2015.

The Intelligent Systems Research Centre (ISRC) at the University of Ulster, UK, invites applications for 3-year Ph.D. studentships. A list of studentships offered for the academic year 2015-2016 and the projects’ details can be found at: http://www.compeng.ulster.ac.uk/rgs/showPhDProposals.php?ri=3. In particular, I have the following computational neuroscience projects available:

1. Computational modelling and analysis of spatiotemporal brain dynamics in decision making.

2. A neuro-inspired multisensory decision-making model with self-awareness for autonomous mobile robots.

3. Computational neuromodulation: neural circuit modelling.

The computational neuroscience research at the ISRC focuses on both fundamental brain and behavioural sciences, and their applications, including clinical neuroscience and neuroengineering.

The application process for the Ph.D. studentship is opened with a closing date for applications on the 27th February 2015. All studentships, which are highly competitive, are expected to start in September 2015, and include tuition fees and an annual maintenance allowance for EU and non-EU students. All applicants should hold a first or upper second class honours degree (or equivalent) in an appropriate subject, such as computer science, engineering, physics, mathematics or neuroscience. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. If you wish to apply for a studentship, please follow the instructions at: http://www.compeng.ulster.ac.uk/rgs/guideForApplicants.php. Unless indicated, successful students will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams, research groups from the Biomedical Sciences Research Institute, the Centre for Stratified Medicine, and there may also be opportunities for spin-outs. A functional brain mapping facility has recently been established at the ISRC. The ISRC is situated in the city of Derry~Londonderry, which has received the City of Culture 2013 award.

Please note that some studentships (DEL Awards) have restrictions on residence eligibility - see guidance notes for details. For further information, please contact me (--LOGIN--18de3223b7fcd65e5d932aabb878e485ulster[dot]ac[dot]uk ).

• Beca FPU para tesis doctoral en caracterización de sistemas exoplanetarios en la Universidad de Granada (Spain). Received: 16/01/2015, Closing date: 27/01/2015.

OBJETO
Se buscan candidatos para solicitar la ayuda del Programa de Formación de Profesorado Universitario (FPU) del Ministerio de Educación, Cultura y Deporte (MECD) para realizar la TESIS DOCTORAL en el Departamento de Física Teórica y del Cosmos de la Universidad de Granada.

El trabajo de tesis se desarrollaría en el campo de la física estelar y caracterización de exoplanetas utilizando series temporales fotométricas, espectroscópicas y análisis de velocidades radiales. El proyecto se enmarca en la preparación de la misión espacial PLATO2.0, recientemente seleccionada por la Agencia Espacial Europea (ESA), como misión M3 para ser lanzada en el 2024, y de la explotación científica del espectrógrafo de alta resolución en el visible e infrarrojo CARMENES cuya puesta en marcha se prevé para año 2016. El doctorando adquirirá conocimientos y destrezas tanto observaciones como teóricas en los citados campos, así como en el manejo de instrumentación y desarrollo de software.

La tesis estaría co-dirigida por Juan Carlos Suárez (Investigador Ramón y Cajal en el Dpto. de Física Teórica y del Cosmos de la UGR) Pedro J. Amado (Instituto de Astrofísica de Andalucía - CSIC)

BASES DE LA CONVOCATORIA
https://sede.educacion.gob.es/catalogo-tramites/profesores/formacion/ universitarios/fpu/fpu-2014.html

REQUISITOS DE LOS CANDIDATOS
1. Estar en posesión del título de Licenciado o graduado en Ciencias (Matemáticas, Física, Química, Ingeniería Química) o bien estar en posesión del título de máster (o matriculados en el curso 2014-2015 en un máster universitario oficial que dé acceso a un programa de doctorado en el curso 2015-2016).
2. Buen expediente académico, interesado en la investigación y dispuesto a la movilidad geográfica (nacional e internacional).
Buen manejo del inglés hablado y escrito. Nociones de programación.
3. Los solicitantes deberán haber finalizado los estudios de licenciatura, ingeniería o grado de 240 créditos con fecha posterior al 1/1/2011. Si son estudios de grado de 180 créditos deberán haber finalizado los estudios con fecha posterior al 1/1/2010.

CONTACTO
Los interesados/as deberán contactar con Juan Carlos Suárez (--LOGIN--fb925a50793f36cc3d0acba758061565ugr[dot]es ) y Pedro J. Amado (--LOGIN--4b0eaada17064064fc8fe0738b959f97iaa[dot]es ), enviando su CV y el expediente académico, antes del 27/1/2015.

ENLACES DE INTERÉS
* Misión PLATO2.0: http://www.oact.inaf.it/plato/PPLC/Home.html
* Agencia Espacial Europea (ESA): http://sci.esa.int/plato/
* Proyecto CARMENES: https://carmenes.caha.es/

• Post-doc position at The Salk Institute for Biological Studies, La Jolla (USA). Received: 14/01/2015.

A post-doc position in the Center for Integrative Biology at The Salk Institute is available. We are looking for computational scientists/post-docs broadly interested in:

1. Molecular and neural network analysis (robustness, evolution, development, etc.); and
2. Algorithms in nature (information processing and computation in biological systems).

Working at The Salk Institute provides a unique opportunity to integrate theory and experiment to bear on important scientific questions. Overlooking the Pacific Ocean, Salk offers a warm, collegial, and collaborative work environment, with UCSD adjacently located.

Education: PhD in computer science or related field.

Experience: Strong algorithmic and programming skills; experience in computational systems biology.

Instructions: Email CV and contact information for two references to --LOGIN--f7720279bba6547a64ce703fa56457f2salk[dot]edu .

• Information Technology Technician position at Brown University, Providence (USA). Received: 13/01/2015.

Brown University - Providence VAMC - Massachusetts General Hospital

Information Technology Technician
for BrainGate neural engineering research

Our research team at Brown University is developing brain-machine interface technology (BrainGate) to enhance communication and independence for people with tetraplegia or locked-in syndrome. We are seeking a highly motivated individual with expertise and experience to support and expand our mission-critical computing, networking, and data management infrastructure.

Major responsibilities of the Information Technology Technician will include:

- Configure, upgrade, administer and maintain our current desktop and laptop computers (Mac, Windows), Linux workstations, terabyte data repositories, networks and routers.
- Provide technical assistance to all current and incoming BrainGate personnel (end users) with configuration, use, and troubleshooting of operating systems, computer hardware and peripherals, software, wireless, standard encryption tools, inter-platform compatibility, scheduled backups, data space management and access rights management.
- Conduct diagnostic testing to determine the source and scope of issues. Resolve independently or with support from team, institution, or vendor resources.
- Coordinate inter-site IT infrastructure planning and deployment with our colleagues (including groups at Stanford, Case Western Reserve University, and Massachusetts General Hospital) to ensure fast and efficient data transfer and storage, standardized data management processes, data deduplication.
- Research and evaluate the best new hardware, software, services and tools for computing, data storage, networking, data sharing, data security, data backup and redundancy and web-based team collaboration that will facilitate our mission.
- Coordinate with central IT and networking groups at each institution to support the above directives, including institutional firewall configuration and best practices.
- Track and manage the use and deployment of IT inventory and capacity.
- Create and maintain procedures for end users addressing frequently encountered issues.
- Work with researchers to identify approaches to streamline and automate data management and data analysis.

The successful candidate will have extensive experience with PC / Mac / Linux computers and administration; computer hardware and software configuration and troubleshooting; local area networks; remote access and administration tools; scripting in various environments; SSH; RAID data storage and file management; NAS administration. Also required are initiative and independence, superior interpersonal and communication skills, and a natural ability to integrate effectively with a high-performance, diverse team in an innovative research environment. Preferable: skill with Adobe Illustrator and Photoshop; use of shared computational clusters. Experience with Matlab is highly preferable and provides opportunity for additional research involvement. Candidate should have several years of experience in an IT support role and relevant college coursework.

To Apply:

Interested applicants should direct inquiries to Drs. John Simeral and Leigh Hochberg, c/o Ms. Beth Travers (--LOGIN--de45581ff654ba1a8831a0677969434dbrown[dot]edu ).

For more about BrainGate2 research, see www.braingate2.org

• Research / Software Engineer at Brown University, Providence (USA). Received: 13/01/2015.

Brown University - Providence VAMC - Massachusetts General Hospital

Research / Software Engineer
for BrainGate neural interface system

Our research team based at Brown University is developing brain-computer interface technology (BrainGate) to enhance communication and independence for people with tetraplegia, locked-in syndrome or limb loss. We are seeking a highly motivated individual to become a key contributor to the development of brain-computer interface technology as a Research / Software Engineer.

Major responsibilities of the Research / Software Engineer include the creation of novel software and integration of hardware for the BrainGate system. Software will be developed to provide clinical trial participants with direct neural control over computer-based assistive technologies, prosthetic limbs, and environmental control devices. The Research / Software Engineer will work with other engineering staff and academic investigators to test neuroscientific hypotheses, advance the science of neural decoding and advance this brain-computer interface platform. Results will be presented at conferences or published in academic journals.

Specific responsibilities of the Research / Software Engineer will include:

- Develop, test and integrate software for data acquisition, real-time neural signal processing and decoding, inter-computer communication and control of assistive devices including computers and state-of-the-art robotic arms.
- Work closely with all team members to improve platform capability, flexibility, reliability and performance.
- Perform frequent software integration and platform functional verification.
- Deploy system software to clinical trial sessions and support clinical research staff to ensure successful system operation in the field.
- Develop software and integrate hardware to integrate commercial assistive robotic devices into the BrainGate system.
- Work with engineering and academic team to plan, enable and conduct novel research in BrainGate clinical trial sessions.
- Conceive and implement tools for research data analysis to evaluate performance of the platform and of novel neural decoding approaches.
- Train new team members, from students to research faculty, on procedures, methods and practices pertaining to system development and data analysis.

Relevant technical skills include:

Systems engineering, digital signal processing, adaptive filtering, dimensionality reduction, classification and machine learning techniques, user interface design, analysis and presentation of complex data sets. Exceptional collaborative interpersonal skills are critical: the successful candidate will independently lead projects and provide remote technical support across clinical sites based in Boston, Providence, Cleveland, and Palo Alto.

This position requires a master's degree in computer science, neuroscience, or engineering, or equivalent experience, with proficiency in MATLAB and Simulink. Experience with Kalman filters, Bayesian statistics and programming skill in C/C++, Java, scripting languages and HTML5 confer an advantage.

Activities will be centered in Providence, RI. Travel of up to three hours from Providence may be required on an occasional basis to attend clinical research sessions.

To Apply:

Interested applicants should forward their CV to Drs. Leigh Hochberg and John Simeral, c/o Ms. Beth Travers, (--LOGIN--de45581ff654ba1a8831a0677969434dbrown[dot]edu ).

For more about BrainGate2 research, see www.braingate2.org

• Postdoc / PhD position in Human-Robot Interaction at the University of Tuebingen (Germany). Received: 13/01/2015.

The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a Postdoc or a PhD student, preferably with a good mathematical background for a maximum duration of 4 years.

The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading also to biomedical applications.
The available project focuses on the development of machine learning algorithms for the representation and control of interactive full-body movements, in close interaction with experiments with human subjects. This includes work with human motion capture data and marker-less tracking, techniques from computer animation, and related problems in control, exploiting appropriate techniques from machine learning.

Our group has long expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes.

Ideal candidates should have the following qualifications:
* Masters (PhD) degree in Computer Science, Electrical / Mechanical / Biomedical Engineering, Physics, or related fields with good mathematical training
* programming experience (Matlab, C/C++, ...)
* Knowledge about control theory or machine learning
* English speaking and writing skills.

Committed to Equal Opportunities.

Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to
Prof. Dr. Martin Giese,
Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience,
Otfried-Müller. 25, 72076 Tuebingen, Germany;
email: --LOGIN--64f47ea1ae212046197cdb62f7959379uni-tuebingen[dot]de

• PostDoc position in formal methods for timed systems with faults and delays at Vienna University of Technology (Austria). Received: 07/01/2015.

Postdoc in formal methods applied to networked timed systems with faults and delays at the Institute of Computer Engineering at the Vienna University of Technology, Vienna, Austria

The Institute of Computer Engineering at Vienna University of Technology (http://ti.tuwien.ac.at/) is seeking a candidate for a two-year postdoctoral research position (with the possibility of a renewal), starting March 2015. The successful applicant will carry out his/her postdoc in the research area of formal methods applied to the verification and synthesis of timed systems with faults and delays, including distributed systems.
This task is part of the recently granted Austrian FWF National Research Network “RiSE” (2nd funding period, http://arise.or.at/nfn/), to be led by Ass.-Prof. Ezio Bartocci in collaboration with Prof. Ulrich Schmid and Prof. Radu Grosu and with the other PIs of RiSE:

http://arise.or.at/principal-investigators/

The specific requirements for this postdoc position are the following:

- A completed PhD in Computer Science
- Experience in developing tools
- Solid experience in timed automata and/or probabilistic timed automata (possibly parametric and/or parametrized)
- Very good English skills (writing, speaking)
- A promising publication record

The Technische Universität Wien (TU Wien) has about 20,000 students and a heavy emphasis on research in the sciences and engineering. TU Wien comprises eight faculties - mathematics and geo-information, physics, technical chemistry, informatics, civil engineering, architecture and regional planning, mechanical engineering and business science, electrical engineering and information technology.
The Faculty of Informatics of the TU Wien comprises about 3,000 students.

The Institute of Computer Engineering (ICE) is one of its seven computer science institutes. The ICE's research and teaching activities focus on the area of cyber-physical systems and dependable embedded systems. Our activities are at the heart of the primary research area Technische Informatik (Computer Engineering) of the Faculty of Informatics, and integrate computer science, discrete and continuous systems theory, and microelectronics in a holistic approach. Major research areas are hybrid systems, real-time systems, fault-tolerant distributed algorithms, and dependable digital circuit architectures. Particular research activities range from formal/mathematical modeling and analysis over SW/HW architectures to microcontroller programming and FPGA/VLSI design.

Salary:
The salary of the postdoctoral researcher will be of around 48000 Euro gross per year.

Applications, including any attachments, should be submitted by the 25th of January to the following emails:
--LOGIN--65ecd011927c754f298a028c48a2ae2atuwien[dot]ac[dot]at , --LOGIN--e481cdfa66a362fcba9887b4b58773ffecs[dot]tuwien[dot]ac[dot]at , --LOGIN--329580ff1adb8ebdd351767f63288c05tuwien[dot]ac[dot]at

The following documents must be attached to the application:

- Cover letter stating the candidate's motivation to apply, and the reason(s) why they should be selected for the position
- A cv
- Three publications that are deemed relevant to the postdoctoral project
- Two reference letters

Shortlisted applicants are expected to be interviewed during the first week of February 2015.

Contact details

For further information and enquiries about this post please contact Ezio Bartocci, e-mail: --LOGIN--65ecd011927c754f298a028c48a2ae2atuwien[dot]ac[dot]at

• Ph.D. Program in Information Science at the University of Pittsburgh (USA). Received: 06/01/2015, Deadline: 15/01/2015.

University of Pittsburgh's School of Information Sciences invites candidates to apply to Ph.D. Program in Information Science.

* Apply now: http://bit.ly/1GQ7CJZ
* Learn more: http://bit.ly/1wCTpgC
* Application deadline: January 15, 2015

The University of Pittsburgh is home to one of the top-ranked institutions in Information Sciences in the United States. The School of Information Sciences (iSchool) has a rich history of training information professionals for careers in research, teaching and industry.

Students admitted to one of our PhD programs can expect to receive multiple years of full scholarship or funding in the form of research and teaching assistantships. Our generous package includes a full tuition waiver, full medical coverage and a competitive yearly stipend. We ensure that each student receives abundant intellectual guidance from faculty and gains the experience necessary to prepare him or her for future research careers. Our graduates hold tenure-track positions at leading universities and are leaders in industry and government domains because of the many opportunities available to them during their doctoral studies. These opportunities include research or industry internships, expected participation in international workshops and conferences, and collaboration with cross-disciplinary, cross-institutional, cutting-edge research teams.

Students can select specialized areas of research, including:
* Adaptive Web Systems
* Big Data
* Database Management
* Data Visualization
* Decision Support Systems
* Geoinformatics
* Human Robot Interaction
* Information Security and Privacy
* Intelligent Web Information Access
* Learning Technology
* Machine Learning
* Network Science
* Spatial Informatics
* Social Computing
* Wireless Information Systems
For more details about research, visit: http://www.ischool.pitt.edu/research/

University of Pittsburgh is ranked 42th in the world by U.S. News & World Report (http://bit.ly/1zV4RGr). It also recognizes Pitt's iSchool as one of the top 10 information schools in the nation (http://bit.ly/175XPD5). Visit our website for more information on the admissions process (http://bit.ly/1zg2fxE). Consider liking our Facebook page (https://www.facebook.com/ischoolpitt) to see what student life is like at the iSchool or follow us on Twitter (https://twitter.com/ischool_pitt) to keep up with important research news and deadlines.
The University of Pittsburgh is located in the Oakland neighborhood of Pittsburgh, a vibrant area home to several universities, public parks, restaurants, libraries and museums all within walking distance! To learn more about what Pittsburgh has to offer, visit Pitt's Cool Pittsburgh website (http://www.coolpgh.pitt.edu/).

If you have any questions about doctoral programs at the iSchool, please contact:

Shabana Reza (--LOGIN--df40b58a117b5472e06655538f0777b2sis[dot]pitt[dot]edu )
Enrollment Manager
1-800-672-9435

• PhD open position in Neurotechnology at Imperial College London (UK). Received: 06/01/2015, Deadline: 30/01/2015.

There is a PhD open position for the following project:

Neural network mechanisms of inhibitory and attentional control.

Co-supervised by: Adam Hampshire & Claudia Clopath, Imperial College London

Many aspects of human cognition, such as response inhibition, working memory and attentional control, have been attributed to the same network of frontal and parietal brain regions.
Furthermore, the role of this network in cognition is not static as instead, activities and connectivities diminish as the task at hand transitions from novel to familiar. The successful candidate will examine how frontoparietal networks support such diverse cognitive demands and how local neural plasticity mechanisms (i.e. changes in connections between neurons) underlie the shifting involvement of frontoparietal networks in cognition. This will be achieved by combining cutting-edge functional neuroimaging and computational modelling methodologies.

More details and how to apply below:
http://www3.imperial.ac.uk/neurotechnology/cdt/projects/hampshire_2015

The deadline is Jan 30th 2015 and candidates should be EU nationals. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus.

• Post-doc and Research Assistant positions in Neuromorphic Engineering at the National University of Singapore (Singapore). Received: 05/01/2015.

We have multiple post-doc and research assistant positions available at the National University of Singapore. The project focuses on embedded systems and artificial spiking neural networks for visual processing.

Please see the link below for details and contact information.
http://www.garrickorchard.com/hiring/

• Postdoc position in machine vision at Brown University, Providence (USA). Received: 03/01/2015.

The computational vision research group, headed by Dr. Thomas Serre at Brown University, has an opening for a postdoctoral fellow to work at the interface between computational neuroscience and computer vision. In particular, we are looking for computer scientists interested in the development of novel machine learning / computer vision algorithms derived from high-fidelity representations of cortical microcircuits to achieve human-like performance on complex information processing tasks. Candidates are expected to have a solid background in modern computer vision and machine learning methods and in particular, strong expertise in optimization techniques and deep learning architectures. An interest in biological vision and applications of computer vision to the biological sciences would also be a strong plus but this is not a requirement for the position. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive.

Representative recent work related to the project:

- D. Reichert & T. Serre. Neuronal synchrony in complex-valued deep networks. International Conference on Learning Representations, 2014
- T. Serre and T. Poggio. Reverse-engineering the brain. In: the Communications of the Association for Computing Machinery (CACM), 53(10), pp. 54-61, Oct 2010

Research group:

Our research group is located within the Department of Cognitive Linguistic & Psychological sciences at Brown University. We maintain strong ties with the computer science, engineering and applied math departments as part of the Brain Institute. Through Brown’s Center for Computation and Visualization (https://www.ccv.brown.edu), our group has access to a state-of-the-art computing facility with includes over 300K GPU cores and over 500 Teraflops of GPU computing power. Information about Dr. Serre and his research group can be found at http://serre-lab.clps.brown.edu.

Requirements:

Applicants are expected to have finished, or be about to finish their Ph.D. degrees. They must have a strong background in computer vision and/or machine learning, with a track record of relevant publications at top venues (such as NIPS, CVPR, ICCV, ICML or ECCV). Excellent programming skills are required (C/C++/Matlab/Python). Programming experience in CUDA and/or parallel computing would be a strong plus.

Application:

Please send your applications by email to --LOGIN--27ccdae66436932a9a466aece90f63bcbrown[dot]edu . Please include a brief statement of interests, a curriculum vita, a list of publications and contact details for 2-3 letters of reference (no letters required at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

• Permanent Research position (CR2) in Computational Neuroscience at INRIA, Nancy (France). Received: 02/01/2015, Deadline: 31/01/2015.

The French Research Institute INRIA (http://www.inria.fr/en/) is launching a

permanent position “Young Graduate Scientist” (CR2)

in Nancy / France.

The Inria-team Neurosys (http://neurosys.loria.fr/) is looking for a young scientist working in computational neuroscience with a deeper interest in multi-scale modeling and/or multivariate data analysis in medical science.

Candidates are eligible if they finished their PhD more than one year ago.
Inria strongly encourages female candidates to apply for the position.

For more detailed information on the position, please take a look at
http://www.inria.fr/en/institute/recruitment/join-us/working-as-a-researcher-at- inria#section0
or send an email to Axel Hutt (--LOGIN--d2c5108c8a3e9fc3061013fba4557d55inria[dot]fr ) until end of January 2015.

• Permanent Research position (CR1) in Computational Neuroscience at INRIA, Nancy (France). Received: 02/01/2015, Deadline: 31/01/2015.

The French Research Institute INRIA (http://www.inria.fr/en/) is launching a

permanent position “Young Experienced Scientist” (CR1)

in Nancy / France.

The Inria-team Neurosys (http://neurosys.loria.fr/) is looking for a senior scientist working in computational neuroscience with a deeper interest in multi-scale modeling and/or multivariate data analysis in medical science.

Candidates are eligible if they finished their PhD more than four years ago.
Inria strongly encourages female candidates to apply for the position.

For more detailed information on the position, please take a look at
http://www.inria.fr/en/institute/recruitment/join-us/working-as-a-researcher-at- inria#section0
or send an email to Axel Hutt (--LOGIN--d2c5108c8a3e9fc3061013fba4557d55inria[dot]fr ) until end of January 2015.

• Director of Research position (DR2) in Computational Neuroscience at INRIA, Nancy (France). Received: 02/01/2015, Deadline: 31/01/2015.

The French Research Institute INRIA (http://www.inria.fr/en/) is launching

permanent positions “Director of Research” (DR2)

in Nancy / France.

The Inria-team Neurosys (http://neurosys.loria.fr/) is looking for a senior scientist working in computational neuroscience with a deeper interest in multi-scale modeling and/or multivariate data analysis in medical science.

As a guideline, candidates who finished their PhD more than eight years ago, may apply. Inria strongly encourages female candidates to apply for the position.

For more detailed information on the position, please take a look at
http://www.inria.fr/en/institute/recruitment/join-us/working-as-a-researcher-at-inria#section0
or send an email to Axel Hutt (--LOGIN--d2c5108c8a3e9fc3061013fba4557d55inria[dot]fr ) until end of January 2015.